ASUS System Product Name
Geekbench ML Score
15365
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-A GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7609
1.42 KIPS |
|
|
Image Classification (F16)
|
100% |
7568
1.42 KIPS |
|
|
Image Classification (I8)
|
100% |
5259
984.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
12792
213.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
12466
208.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
9658
161.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
104496
126.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
104710
126.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
82855
100.3 IPS |
|
|
Object Detection (F32)
|
100% |
5863
437.7 IPS |
|
|
Object Detection (F16)
|
100% |
5938
443.3 IPS |
|
|
Object Detection (I8)
|
63% |
4700
350.9 IPS |
|
|
Face Detection (F32)
|
100% |
21372
254.1 IPS |
|
|
Face Detection (F16)
|
100% |
21350
253.9 IPS |
|
|
Face Detection (I8)
|
89% |
15272
181.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
42702
331.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
40736
315.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
28059
217.6 IPS |
|
|
Style Transfer (F32)
|
100% |
170480
224.3 IPS |
|
|
Style Transfer (F16)
|
100% |
172300
226.6 IPS |
|
|
Style Transfer (I8)
|
98% |
131774
173.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31171
1.11 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31395
1.12 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18314
654.0 IPS |
|
|
Text Classification (F32)
|
100% |
2564
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2548
3.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1301
1.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
4090
75.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4103
75.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1694
31.2 IPS |
