ASUS System Product Name
Geekbench AI Score
5673
Single Precision Score
5854
Half Precision Score
14748
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
4129
768.0 IPS |
|
|
Image Classification (HP)
|
100% |
4086
760.0 IPS |
|
|
Image Classification (Q)
|
100% |
9591
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3936
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7916
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7664
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
8183
9.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
31665
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
4039
320.3 IPS |
|
|
Object Detection (HP)
|
100% |
4024
319.2 IPS |
|
|
Object Detection (Q)
|
88% |
10622
851.5 IPS |
|
|
Face Detection (SP)
|
100% |
12686
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
12047
143.1 IPS |
|
|
Face Detection (Q)
|
100% |
24385
289.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9751
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10408
80.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27994
217.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24649
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24443
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88023
113.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16203
600.0 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
4714
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4156
71.6 IPS |
