ASUS System Product Name
Geekbench AI Score
25809
Single Precision Score
39377
Half Precision Score
20272
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 02:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-E WIFI |
| Power Plan | QuickCpuScheme |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10220
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
15510
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
9101
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17291
280.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22124
358.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15801
256.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
143389
167.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
346972
404.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
129749
152.0 IPS |
|
|
Object Detection (SP)
|
100% |
12987
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
19562
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
11087
892.5 IPS |
|
|
Face Detection (SP)
|
100% |
34011
404.1 IPS |
|
|
Face Detection (HP)
|
100% |
48083
571.3 IPS |
|
|
Face Detection (Q)
|
97% |
29534
352.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66056
508.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
113294
872.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
52143
416.4 IPS |
|
|
Style Transfer (SP)
|
100% |
255753
328.8 IPS |
|
|
Style Transfer (HP)
|
100% |
566317
728.0 IPS |
|
|
Style Transfer (Q)
|
98% |
224655
289.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45776
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57227
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33193
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3570
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4860
83.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2252
42.2 IPS |
