ASUS System Product Name
Geekbench AI Score
5656
Single Precision Score
2200
Half Precision Score
6892
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 16 2024 09:39 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3007
559.3 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (Q)
|
99% |
5249
979.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4268
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13672
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7935
9.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
42372
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
3599
285.4 IPS |
|
|
Object Detection (HP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (Q)
|
88% |
2840
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
6615
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
6566
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12575
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3383
26.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12906
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31393
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19923
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32021
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3475
128.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6104
226.0 IPS |
|
|
Text Classification (SP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1741
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3111
69.4 IPS |
