ASUS System Product Name
Geekbench AI Score
4047
Single Precision Score
956
Half Precision Score
4918
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | September 18 2024 10:56 AM |
| Views | 9 |
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% |
2553
474.8 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
99% |
4625
862.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
3220
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8743
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4425
5.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
27937
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
88% |
2628
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (Q)
|
97% |
4016
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8381
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1164
8.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
9624
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11594
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16700
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2319
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5857
216.9 IPS |
|
|
Text Classification (SP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
702
939.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2853
63.6 IPS |
