System manufacturer System Product Name
Geekbench AI Score
1076
Single Precision Score
1074
Half Precision Score
1557
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | February 07 2025 06:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2640 v2 @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P9X79 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2640 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
549
102.2 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.8 IPS |
|
|
Image Classification (Q)
|
100% |
1056
196.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1305
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
2317
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (HP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
87% |
1011
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
2969
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1923
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1919
14.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2781
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3086
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3078
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6968
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
887
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1389
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
91% |
392
526.8 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
100% |
828
14.3 IPS |
