MSI MS-7885
Geekbench AI Score
1208
Single Precision Score
492
Half Precision Score
1004
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 11:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2603 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MSI MS-7885 |
| Motherboard | MSI X99S MPOWER (MS-7885) |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2603 v3 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 1.67 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
916
170.3 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
96% |
903
168.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
572
9.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1623
1.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
2110
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
58% |
608
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (Q)
|
96% |
1891
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
683
5.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
2214
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4586
5.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3573
4.59 IPS |
|
|
Style Transfer (Q)
|
87% |
4193
5.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
742
27.5 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (HP)
|
100% |
241
321.1 IPS |
|
|
Text Classification (Q)
|
97% |
172
230.4 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.80 IPS |
|
|
Machine Translation (Q)
|
68% |
706
13.6 IPS |
