ASUS System Product Name
Geekbench AI Score
4056
Single Precision Score
970
Half Precision Score
4974
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | September 18 2024 11:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI D4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2769
514.9 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
99% |
4317
805.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
3306
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9048
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4433
5.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
28218
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2377
188.5 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
88% |
2805
224.8 IPS |
|
|
Face Detection (SP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
4067
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8529
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1144
8.82 IPS |
|
|
Depth Estimation (Q)
|
76% |
9661
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19308
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11279
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17094
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2345
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5565
206.1 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2880
64.2 IPS |
