System manufacturer System Product Name
Geekbench AI Score
930
Single Precision Score
957
Half Precision Score
1444
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | February 08 2025 06:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-1620 v2 @ 3.70GHz |
| 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 E5-1620 v2 |
| 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% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
100% |
932
173.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1111
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
853
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
1914
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
87% |
923
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
2637
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1623
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1631
12.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
2395
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2547
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2545
3.27 IPS |
|
|
Style Transfer (Q)
|
98% |
5737
7.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1169
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
91% |
502
675.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1015
17.5 IPS |
