MSI MS-7885
Geekbench AI Score
1733
Single Precision Score
832
Half Precision Score
1591
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 08 2025 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1630 v4 |
| 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 E5-1630 v4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
959
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2262
2.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
3086
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (Q)
|
58% |
904
98.7 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
3056
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3520
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
3361
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6593
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5071
6.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5899
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1171
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.0 IPS |
|
|
Text Classification (Q)
|
97% |
362
485.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.14 IPS |
|
|
Machine Translation (Q)
|
68% |
1111
21.5 IPS |
