MSI MS-7816
Geekbench AI Score
1026
Single Precision Score
361
Half Precision Score
1065
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dmitrychou |
| Upload Date | August 17 2024 10:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1240 v3 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | MSI MS-7816 |
| Motherboard | MSI B85-G43 (MS-7816) |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1240 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 | 14.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
633
117.6 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (Q)
|
97% |
783
146.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
714
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1518
1.77 IPS |
|
|
Pose Estimation (Q)
|
87% |
2233
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.21 IPS |
|
|
Object Detection (Q)
|
86% |
639
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
939
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
166
1.97 IPS |
|
|
Face Detection (Q)
|
96% |
1455
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1948
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.69 IPS |
|
|
Depth Estimation (Q)
|
76% |
1902
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4356
5.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3514
4.52 IPS |
|
|
Style Transfer (Q)
|
87% |
4393
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.5 IPS |
|
|
Text Classification (HP)
|
100% |
338
450.8 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.5 IPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.37 IPS |
|
|
Machine Translation (Q)
|
60% |
788
17.6 IPS |
