ASUS System Product Name
Geekbench AI Score
3979
Single Precision Score
937
Half Precision Score
5010
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 27 2024 02:27 PM |
| 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 | 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% |
2531
470.7 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
99% |
4512
841.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
3265
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8273
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4518
5.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
27553
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (Q)
|
88% |
2738
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
4168
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1146
8.83 IPS |
|
|
Depth Estimation (Q)
|
76% |
9956
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19481
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11271
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17312
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2282
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5808
215.1 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
736
985.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2920
65.1 IPS |
