Generic
Geekbench AI Score
3162
Single Precision Score
3188
Half Precision Score
4911
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | firecall |
| Upload Date | January 04 2025 02:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400F CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B460 Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (Q)
|
100% |
3133
582.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3460
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4359
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
8495
9.96 IPS |
|
|
Object Detection (SP)
|
100% |
1941
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
1933
153.3 IPS |
|
|
Object Detection (Q)
|
87% |
3160
253.4 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (Q)
|
97% |
8445
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5381
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5237
40.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8998
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12463
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12560
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24424
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2504
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4975
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
91% |
1114
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2730
47.0 IPS |
