ASUS System Product Name
Geekbench AI Score
25483
Single Precision Score
37183
Half Precision Score
20059
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | joeyd |
| Upload Date | March 04 2025 03:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10299
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
15408
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
8928
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15424
250.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18565
300.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14091
229.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
163283
190.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
392207
457.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
146292
171.4 IPS |
|
|
Object Detection (SP)
|
100% |
12489
990.6 IPS |
|
|
Object Detection (HP)
|
100% |
18015
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
10706
861.9 IPS |
|
|
Face Detection (SP)
|
100% |
32679
388.3 IPS |
|
|
Face Detection (HP)
|
100% |
40680
483.4 IPS |
|
|
Face Detection (Q)
|
97% |
28258
337.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65962
508.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109142
843.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
52161
417.0 IPS |
|
|
Style Transfer (SP)
|
100% |
282178
362.7 IPS |
|
|
Style Transfer (HP)
|
100% |
639220
821.7 IPS |
|
|
Style Transfer (Q)
|
98% |
252760
325.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43526
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54371
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31785
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2041
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2215
41.5 IPS |
