ASUS System Product Name
Geekbench AI Score
7950
Single Precision Score
8122
Half Precision Score
5872
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 02 2025 09:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z490-P |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.4 IPS |
|
|
Image Classification (Q)
|
99% |
1842
343.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5267
85.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4987
80.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4322
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56813
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31102
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
45106
52.8 IPS |
|
|
Object Detection (SP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (HP)
|
100% |
4238
336.1 IPS |
|
|
Object Detection (Q)
|
84% |
2348
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
5505
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
8480
100.8 IPS |
|
|
Face Detection (Q)
|
97% |
4832
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17471
134.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16724
129.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13556
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
93674
120.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53944
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70839
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15295
564.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12477
460.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9791
362.5 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (Q)
|
97% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2922
50.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1379
25.9 IPS |
