OEMEL OEMEL Product Name DV
Geekbench AI Score
2859
Single Precision Score
2640
Half Precision Score
6218
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | OEMEL OEMEL Product Name DV |
| Motherboard | OEMEL OEMEL Product Name DV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.5 IPS |
|
|
Image Classification (Q)
|
100% |
4421
822.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2495
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3398
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3451
4.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
12654
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (Q)
|
88% |
4863
389.8 IPS |
|
|
Face Detection (SP)
|
100% |
5160
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
5245
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
10553
125.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4437
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2764
21.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
6837
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10238
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6786
8.72 IPS |
|
|
Style Transfer (Q)
|
98% |
24763
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7872
291.5 IPS |
|
|
Text Classification (SP)
|
100% |
1938
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1914
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3152
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2911
50.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2872
49.5 IPS |
