System manufacturer System Product Name
Geekbench AI Score
1317
Single Precision Score
543
Half Precision Score
1056
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | June 15 2025 09:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2640 v2 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV FORMULA |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1038
193.0 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.7 IPS |
|
|
Image Classification (Q)
|
96% |
821
153.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
563
9.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1488
1.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
1954
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
58% |
627
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (Q)
|
96% |
2075
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2622
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
809
6.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
2074
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4889
6.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3828
4.92 IPS |
|
|
Style Transfer (Q)
|
87% |
4166
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
815
30.2 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.4 IPS |
|
|
Text Classification (HP)
|
100% |
254
339.4 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.2 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
68% |
921
17.8 IPS |
