Generic
Geekbench AI Score
1307
Single Precision Score
2038
Half Precision Score
1911
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H410M-HDV R2.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (HP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (Q)
|
100% |
1215
225.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1674
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
2065
2.42 IPS |
|
|
Pose Estimation (Q)
|
97% |
2761
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (HP)
|
99% |
1290
102.6 IPS |
|
|
Object Detection (Q)
|
88% |
1217
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (Q)
|
97% |
3482
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2486
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4179
32.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3779
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4867
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
7600
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6682
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1684
62.4 IPS |
|
|
Text Classification (SP)
|
71% |
618
893.8 IPS |
|
|
Text Classification (HP)
|
71% |
725
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
546
733.7 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1189
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1176
20.3 IPS |
