ASUS System Product Name
Geekbench AI Score
6514
Single Precision Score
2236
Half Precision Score
9047
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | philip-park |
| Upload Date | March 18 2025 02:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5293
984.4 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.1 IPS |
|
|
Image Classification (Q)
|
99% |
8495
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2687
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4281
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10584
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5667
6.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
38280
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
4945
392.3 IPS |
|
|
Object Detection (HP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (Q)
|
86% |
8120
652.6 IPS |
|
|
Face Detection (SP)
|
100% |
14390
171.0 IPS |
|
|
Face Detection (HP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
13572
161.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14298
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3077
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23512
187.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25015
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13774
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
43578
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6749
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4175
83.9 IPS |
