mktx-OpenVINO-cpu N/A
Geekbench AI Score
2598
Single Precision Score
2657
Half Precision Score
2894
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | myi2000 |
| Upload Date | August 01 2025 05:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13800H |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (Q)
|
100% |
1598
297.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1767
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2124
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3567
4.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
5017
5.88 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (Q)
|
87% |
1993
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
5008
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3582
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3654
28.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
4087
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10213
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9271
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
13575
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2192
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (Q)
|
91% |
850
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2346
40.4 IPS |
