ASUS System Product Name
Geekbench ML Score
17916
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 09:19 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H770-PLUS D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8476
1.59 KIPS |
|
|
Image Classification (F16)
|
100% |
9452
1.77 KIPS |
|
|
Image Classification (I8)
|
100% |
6061
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14084
235.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13392
223.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9838
164.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
161584
195.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
161632
195.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
118246
143.2 IPS |
|
|
Object Detection (F32)
|
100% |
6821
509.2 IPS |
|
|
Object Detection (F16)
|
100% |
6712
501.1 IPS |
|
|
Object Detection (I8)
|
56% |
5253
392.2 IPS |
|
|
Face Detection (F32)
|
100% |
27980
332.7 IPS |
|
|
Face Detection (F16)
|
100% |
29513
350.9 IPS |
|
|
Face Detection (I8)
|
89% |
19165
227.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
57516
446.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
50554
392.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
31110
241.3 IPS |
|
|
Style Transfer (F32)
|
100% |
269027
353.9 IPS |
|
|
Style Transfer (F16)
|
100% |
243109
319.8 IPS |
|
|
Style Transfer (I8)
|
98% |
166466
219.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33224
1.19 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32803
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
19398
692.8 IPS |
|
|
Text Classification (F32)
|
100% |
2520
3.62 KIPS |
|
|
Text Classification (F16)
|
100% |
2512
3.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1254
1.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
3811
70.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3773
69.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1572
28.9 IPS |
