ASUS System Product Name
Geekbench ML Score
28224
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2024 04:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12520
2.34 KIPS |
|
|
Image Classification (F16)
|
100% |
12402
2.32 KIPS |
|
|
Image Classification (I8)
|
100% |
10820
2.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19185
320.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
18797
313.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
16654
278.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
281495
340.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
280710
339.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
245268
297.0 IPS |
|
|
Object Detection (F32)
|
100% |
8534
637.1 IPS |
|
|
Object Detection (F16)
|
100% |
8548
638.2 IPS |
|
|
Object Detection (I8)
|
54% |
8044
600.6 IPS |
|
|
Face Detection (F32)
|
100% |
42862
509.6 IPS |
|
|
Face Detection (F16)
|
100% |
43968
522.8 IPS |
|
|
Face Detection (I8)
|
88% |
36067
428.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
83617
648.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
83691
649.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
63857
495.2 IPS |
|
|
Style Transfer (F32)
|
100% |
477833
628.5 IPS |
|
|
Style Transfer (F16)
|
100% |
492018
647.2 IPS |
|
|
Style Transfer (I8)
|
98% |
409005
538.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
48378
1.73 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
49751
1.78 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37351
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
3211
4.61 KIPS |
|
|
Text Classification (F16)
|
100% |
3202
4.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1892
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
4618
85.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4680
86.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2607
48.0 IPS |
