ASUS System Product Name
Geekbench AI Score
24563
Single Precision Score
41355
Half Precision Score
19163
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MindLogic |
| Upload Date | June 02 2025 09:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 FORMULA |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9988
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
17027
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
9114
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15460
250.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20848
338.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14256
231.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
149862
174.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
418130
487.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
128879
151.0 IPS |
|
|
Object Detection (SP)
|
100% |
12923
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
20879
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
10866
877.9 IPS |
|
|
Face Detection (SP)
|
100% |
32597
387.3 IPS |
|
|
Face Detection (HP)
|
100% |
44412
527.7 IPS |
|
|
Face Detection (Q)
|
97% |
27782
331.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
63627
490.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
114956
885.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
48984
391.0 IPS |
|
|
Style Transfer (SP)
|
100% |
210733
270.9 IPS |
|
|
Style Transfer (HP)
|
100% |
691097
888.4 IPS |
|
|
Style Transfer (Q)
|
98% |
182592
235.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37295
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65692
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29477
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3630
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2217
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4607
79.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2261
42.4 IPS |
