ASUS System Product Name
Geekbench AI Score
7024
Single Precision Score
2465
Half Precision Score
10350
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 09:11 AM |
| Views | 3 |
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 STRIX Z890-E GAMING WIFI |
| Power Plan | Balanced |
| 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% |
5375
999.6 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
99% |
8670
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4875
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14782
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8613
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
47886
56.1 IPS |
|
|
Object Detection (SP)
|
100% |
5037
399.5 IPS |
|
|
Object Detection (HP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (Q)
|
86% |
11089
891.2 IPS |
|
|
Face Detection (SP)
|
100% |
13454
159.9 IPS |
|
|
Face Detection (HP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
13454
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16616
128.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3551
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23712
189.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33881
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21646
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33189
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5435
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3185
117.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6496
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
2049
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1015
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1948
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4692
94.3 IPS |
