MSI MS-7816
Geekbench AI Score
384
Single Precision Score
880
Half Precision Score
167
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dmitrychou |
| Upload Date | August 17 2024 11:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| 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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
100% |
237
44.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18
0.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1204
1.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
134
0.16 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
89% |
366
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
88
1.05 IPS |
|
|
Face Detection (HP)
|
100% |
145
1.73 IPS |
|
|
Face Detection (Q)
|
97% |
19
0.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
203
1.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
4014
30.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
52
0.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1959
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3376
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
318
0.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3999
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3184
117.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2704
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.3 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.5 IPS |
|
|
Text Classification (Q)
|
97% |
328
439.1 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
96% |
653
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
301
6.71 IPS |
