O.E.M. O.E.M.
Geekbench AI Score
3777
Single Precision Score
6119
Half Precision Score
9459
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2675
497.5 IPS |
|
|
Image Classification (HP)
|
100% |
4153
772.3 IPS |
|
|
Image Classification (Q)
|
100% |
5943
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5253
85.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7674
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8339
9.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
8324
9.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
26234
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
4094
324.7 IPS |
|
|
Object Detection (Q)
|
88% |
6298
504.7 IPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
8870
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
15925
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
14493
112.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
17226
133.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20287
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31984
41.1 IPS |
|
|
Style Transfer (Q)
|
98% |
65550
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6644
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10680
395.5 IPS |
|
|
Text Classification (SP)
|
71% |
1471
2.13 KIPS |
|
|
Text Classification (HP)
|
71% |
1867
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2024
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1942
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1958
33.7 IPS |
