Default string Default string
Geekbench AI Score
1006
Single Precision Score
9062
Half Precision Score
14220
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 02:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (HP)
|
100% |
6305
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8733
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
31368
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72561
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
5566
441.5 IPS |
|
|
Object Detection (Q)
|
88% |
9560
766.5 IPS |
|
|
Face Detection (SP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
15621
185.6 IPS |
|
|
Face Detection (Q)
|
100% |
29503
350.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1268
9.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
15805
121.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30335
236.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5130
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
47941
61.6 IPS |
|
|
Style Transfer (Q)
|
98% |
87925
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15102
557.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28943
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
553
738.0 IPS |
|
|
Text Classification (HP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (Q)
|
92% |
1729
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4217
72.6 IPS |
