ASUS System Product Name
Geekbench ML Score
15058
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 11:59 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7362
1.38 KIPS |
|
|
Image Classification (F16)
|
100% |
7488
1.40 KIPS |
|
|
Image Classification (I8)
|
100% |
5041
943.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
11234
187.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
11084
185.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8907
148.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
103636
125.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
103622
125.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
82235
99.6 IPS |
|
|
Object Detection (F32)
|
100% |
6072
453.3 IPS |
|
|
Object Detection (F16)
|
100% |
6000
448.0 IPS |
|
|
Object Detection (I8)
|
63% |
4841
361.4 IPS |
|
|
Face Detection (F32)
|
100% |
19841
235.9 IPS |
|
|
Face Detection (F16)
|
100% |
19864
236.2 IPS |
|
|
Face Detection (I8)
|
89% |
14533
172.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
43696
338.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
42313
328.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
29265
227.0 IPS |
|
|
Style Transfer (F32)
|
100% |
179137
235.6 IPS |
|
|
Style Transfer (F16)
|
100% |
171288
225.3 IPS |
|
|
Style Transfer (I8)
|
98% |
130851
172.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31837
1.14 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31638
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18037
644.1 IPS |
|
|
Text Classification (F32)
|
100% |
2759
3.97 KIPS |
|
|
Text Classification (F16)
|
100% |
2755
3.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1352
1.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
3518
64.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3510
64.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1565
28.8 IPS |
