ASUS System Product Name
Geekbench AI Score
4000
Single Precision Score
940
Half Precision Score
4928
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 30 2024 09:24 AM |
| Views | 13 |
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 | Hchstleistung |
| 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% |
2513
467.3 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
99% |
4626
862.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
3223
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8660
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4432
5.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
27315
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
88% |
2744
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
97% |
3993
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.51 IPS |
|
|
Depth Estimation (Q)
|
76% |
9587
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19086
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11358
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16243
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5682
210.4 IPS |
|
|
Text Classification (SP)
|
100% |
1988
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
750
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2853
63.6 IPS |
