MSI MS-7885
Geekbench AI Score
3229
Single Precision Score
1138
Half Precision Score
2712
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 14 2025 11:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2666 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MSI MS-7885 |
| Motherboard | MSI X99A SLI PLUS(MS-7885) |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2666 v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2670
496.5 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.5 IPS |
|
|
Image Classification (Q)
|
96% |
2689
502.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
5008
5.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
7055
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.6 IPS |
|
|
Object Detection (Q)
|
58% |
1825
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
5239
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
5146
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7805
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1538
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6361
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14251
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11276
14.5 IPS |
|
|
Style Transfer (Q)
|
87% |
11248
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1880
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.2 IPS |
|
|
Text Classification (Q)
|
97% |
368
492.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
68% |
1698
32.8 IPS |
