Generic
Geekbench AI Score
1120
Single Precision Score
1123
Half Precision Score
1686
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | February 22 2025 12:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4820K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Extreme11 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4820K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.0 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
100% |
1093
203.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1291
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
2245
2.63 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
87% |
1081
86.7 IPS |
|
|
Face Detection (SP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
3064
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1905
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1903
14.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
2788
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2965
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2973
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6721
8.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1370
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
91% |
596
800.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1158
19.9 IPS |
