O.E.M. O.E.M.
Geekbench AI Score
1864
Single Precision Score
1901
Half Precision Score
5379
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | O.E.M. O.E.M. |
| Motherboard | O.E.M. O.E.M. |
| 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 | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.8 IPS |
|
|
Image Classification (Q)
|
100% |
3041
565.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2113
2.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
9205
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (Q)
|
88% |
3474
278.5 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
8518
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3358
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3361
25.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9851
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7157
9.20 IPS |
|
|
Style Transfer (HP)
|
100% |
7263
9.34 IPS |
|
|
Style Transfer (Q)
|
98% |
27948
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6243
231.2 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.5 IPS |
|
|
Text Classification (HP)
|
100% |
596
795.6 IPS |
|
|
Text Classification (Q)
|
92% |
2291
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1820
31.3 IPS |
