ASUS System Product Name
Geekbench AI Score
4653
Single Precision Score
1633
Half Precision Score
6268
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | November 13 2024 07:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2537
471.9 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
99% |
4557
850.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4234
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10741
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4915
5.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
34389
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
3054
242.2 IPS |
|
|
Object Detection (HP)
|
100% |
748
59.4 IPS |
|
|
Object Detection (Q)
|
88% |
2525
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
5681
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
6271
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11037
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2221
17.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11352
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24366
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12019
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30843
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4853
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
748
998.1 IPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2986
66.6 IPS |
