O.E.M. O.E.M.
Geekbench AI Score
1675
Single Precision Score
757
Half Precision Score
2895
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 06:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1205
224.2 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
99% |
2277
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2194
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2254
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1519
1.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
9966
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
88% |
1202
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
2594
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3291
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.93 IPS |
|
|
Depth Estimation (Q)
|
77% |
4901
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6289
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
4142
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
11620
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
903
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2555
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
519
693.3 IPS |
|
|
Text Classification (Q)
|
97% |
1311
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.42 IPS |
|
|
Machine Translation (Q)
|
60% |
1397
31.2 IPS |
