ASUS System Product Name
Geekbench AI Score
5796
Single Precision Score
2380
Half Precision Score
7290
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 04:04 PM |
| Views | 2 |
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. TUF GAMING Z890-PRO WIFI |
| Power Plan | Storage Benchmark Power Scheme based on Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3140
584.0 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.2 IPS |
|
|
Image Classification (Q)
|
99% |
5469
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4741
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14714
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8314
9.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
49016
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
3744
297.0 IPS |
|
|
Object Detection (HP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
88% |
3082
247.0 IPS |
|
|
Face Detection (SP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
6092
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13966
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3445
26.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12932
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33807
43.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21457
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31298
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6545
242.3 IPS |
|
|
Text Classification (SP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1828
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3670
81.9 IPS |
