ASUS System Product Name
Geekbench AI Score
3769
Single Precision Score
910
Half Precision Score
4774
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 27 2024 09:06 AM |
| Views | 8 |
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% |
2275
423.0 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (Q)
|
99% |
4497
838.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
3001
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7865
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4465
5.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
26007
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
88% |
2568
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.16 IPS |
|
|
Face Detection (Q)
|
97% |
3953
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7756
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1119
8.62 IPS |
|
|
Depth Estimation (Q)
|
76% |
9440
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17987
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11244
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17214
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5631
208.5 IPS |
|
|
Text Classification (SP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
683
915.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2763
61.6 IPS |
