ASUS System Product Name
Geekbench AI Score
6089
Single Precision Score
8925
Half Precision Score
13730
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-I 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4126
767.3 IPS |
|
|
Image Classification (HP)
|
100% |
5979
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8067
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4498
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8777
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12160
197.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12219
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11472
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
33939
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3848
305.2 IPS |
|
|
Object Detection (HP)
|
100% |
5274
418.3 IPS |
|
|
Object Detection (Q)
|
88% |
9259
742.0 IPS |
|
|
Face Detection (SP)
|
100% |
9616
114.3 IPS |
|
|
Face Detection (HP)
|
100% |
16978
201.7 IPS |
|
|
Face Detection (Q)
|
100% |
26216
311.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13440
103.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
22435
173.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26086
202.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30341
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43392
55.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83849
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8046
297.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15148
561.0 IPS |
|
|
Text Classification (SP)
|
71% |
1699
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
2433
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2847
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3123
54.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3125
53.8 IPS |
