MSI MS-7918
Geekbench AI Score
1338
Single Precision Score
757
Half Precision Score
1327
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | amadeus_ha |
| Upload Date | November 17 2024 01:28 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1231 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7918 |
| Motherboard | MSI H97 GAMING 3 (MS-7918) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1231 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
96% |
1006
187.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
900
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (Q)
|
87% |
2849
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.7 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
86% |
805
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (Q)
|
96% |
1703
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2619
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1095
8.44 IPS |
|
|
Depth Estimation (Q)
|
77% |
2281
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5865
7.54 IPS |
|
|
Style Transfer (HP)
|
100% |
4794
6.16 IPS |
|
|
Style Transfer (Q)
|
87% |
5356
6.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1208
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
456
609.1 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.4 IPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
60% |
917
20.5 IPS |
