ASUS System Product Name
Geekbench ML Score
18843
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 11:19 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H770-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 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 | 1.25 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9345
1.75 KIPS |
|
|
Image Classification (F16)
|
100% |
8496
1.59 KIPS |
|
|
Image Classification (I8)
|
100% |
7487
1.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13779
230.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13644
227.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12635
211.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
135507
164.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
131642
159.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
119188
144.3 IPS |
|
|
Object Detection (F32)
|
100% |
6086
454.4 IPS |
|
|
Object Detection (F16)
|
100% |
6089
454.6 IPS |
|
|
Object Detection (I8)
|
63% |
5668
423.1 IPS |
|
|
Face Detection (F32)
|
100% |
23894
284.1 IPS |
|
|
Face Detection (F16)
|
100% |
24810
295.0 IPS |
|
|
Face Detection (I8)
|
89% |
20033
238.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
51441
398.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
50936
395.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
38967
302.2 IPS |
|
|
Style Transfer (F32)
|
100% |
226854
298.4 IPS |
|
|
Style Transfer (F16)
|
100% |
226606
298.1 IPS |
|
|
Style Transfer (I8)
|
98% |
188086
247.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
39210
1.40 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
39523
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
28419
1.01 KIPS |
|
|
Text Classification (F32)
|
100% |
3186
4.58 KIPS |
|
|
Text Classification (F16)
|
100% |
3052
4.39 KIPS |
|
|
Text Classification (I8)
|
98% |
1736
2.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
3940
72.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3906
71.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2126
39.1 IPS |
