Generic
Geekbench AI Score
5739
Single Precision Score
6501
Half Precision Score
8733
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 10:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7820X CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X299 Professional Gaming i9 |
| Power Plan | GameTurbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820X |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4419
821.9 IPS |
|
|
Image Classification (HP)
|
100% |
4578
851.4 IPS |
|
|
Image Classification (Q)
|
100% |
5998
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4278
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5989
97.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6826
7.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
13335
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
3913
310.4 IPS |
|
|
Object Detection (HP)
|
100% |
4534
359.7 IPS |
|
|
Object Detection (Q)
|
87% |
6287
504.2 IPS |
|
|
Face Detection (SP)
|
100% |
9093
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
9565
113.6 IPS |
|
|
Face Detection (Q)
|
97% |
17330
206.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10934
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11523
88.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
15998
126.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21128
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26646
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39136
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4542
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5947
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7714
285.7 IPS |
|
|
Text Classification (SP)
|
100% |
3331
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (Q)
|
91% |
2633
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3928
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3891
67.0 IPS |
