ASUS System Product Name
Geekbench ML Score
21937
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:18 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS WIFI D4 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9900
1.85 KIPS |
|
|
Image Classification (F16)
|
100% |
10655
1.99 KIPS |
|
|
Image Classification (I8)
|
100% |
9035
1.69 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14266
238.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
15291
255.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
14339
239.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
164961
199.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
168715
204.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
148417
179.7 IPS |
|
|
Object Detection (F32)
|
100% |
6718
501.6 IPS |
|
|
Object Detection (F16)
|
100% |
6903
515.3 IPS |
|
|
Object Detection (I8)
|
56% |
6420
479.3 IPS |
|
|
Face Detection (F32)
|
100% |
30729
365.4 IPS |
|
|
Face Detection (F16)
|
100% |
29840
354.8 IPS |
|
|
Face Detection (I8)
|
89% |
25932
308.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
63666
493.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
60562
469.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
49246
381.9 IPS |
|
|
Style Transfer (F32)
|
100% |
283603
373.1 IPS |
|
|
Style Transfer (F16)
|
100% |
283518
372.9 IPS |
|
|
Style Transfer (I8)
|
98% |
254548
334.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42227
1.51 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43360
1.55 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32048
1.14 KIPS |
|
|
Text Classification (F32)
|
100% |
3392
4.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3211
4.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1969
2.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
4152
76.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4071
74.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2387
43.9 IPS |
