Generic
Geekbench AI Score
1843
Single Precision Score
1852
Half Precision Score
2071
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | F4T4L1TY |
| Upload Date | January 05 2025 06:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4440 CPU @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H81M-VG4 R2.0 |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4440 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1151
214.0 IPS |
|
|
Image Classification (HP)
|
100% |
1135
211.1 IPS |
|
|
Image Classification (Q)
|
100% |
1270
236.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2305
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
2704
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (HP)
|
100% |
1080
85.7 IPS |
|
|
Object Detection (Q)
|
87% |
1281
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
3458
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2981
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2975
22.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3339
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6773
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6657
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
7878
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1666
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (Q)
|
91% |
884
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1718
29.6 IPS |
