Default string Default string
Geekbench AI Score
2487
Single Precision Score
8784
Half Precision Score
13504
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 17 2026 04:15 PM |
| Views | 5 |
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 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
6026
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8433
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3015
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
29705
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
65421
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
100% |
5289
419.6 IPS |
|
|
Object Detection (Q)
|
88% |
8882
712.1 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
15649
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
28255
335.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3909
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16447
126.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30229
235.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8979
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
47632
61.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85907
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1781
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14001
517.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26788
992.0 IPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1774
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3915
67.4 IPS |
