ASUS System Product Name
Geekbench AI Score
25571
Single Precision Score
37707
Half Precision Score
20199
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | terapeut |
| Upload Date | February 06 2025 08:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10337
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
15795
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
8878
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15262
247.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19171
310.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14208
231.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
169121
197.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
390392
455.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
159711
187.1 IPS |
|
|
Object Detection (SP)
|
100% |
12494
991.1 IPS |
|
|
Object Detection (HP)
|
100% |
18584
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
11057
889.4 IPS |
|
|
Face Detection (SP)
|
100% |
34642
411.6 IPS |
|
|
Face Detection (HP)
|
100% |
42938
510.2 IPS |
|
|
Face Detection (Q)
|
97% |
30380
362.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65389
503.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111112
858.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
52668
421.1 IPS |
|
|
Style Transfer (SP)
|
100% |
298105
383.2 IPS |
|
|
Style Transfer (HP)
|
100% |
661304
850.1 IPS |
|
|
Style Transfer (Q)
|
98% |
268486
346.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40674
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54268
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30457
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
4072
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1846
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3794
65.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2102
39.4 IPS |
