ASUS System Product Name
Geekbench AI Score
3895
Single Precision Score
929
Half Precision Score
4959
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 27 2024 09:34 AM |
| Views | 6 |
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% |
2648
492.4 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
4560
850.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
3266
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8420
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4484
5.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
27930
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
88% |
2684
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
4021
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8449
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1149
8.85 IPS |
|
|
Depth Estimation (Q)
|
76% |
9644
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19035
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11224
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17505
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3520
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5878
217.7 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
710
951.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2848
63.5 IPS |
