Micro-Star International Co., Ltd. MS-7D22
Geekbench AI Score
3692
Single Precision Score
3716
Half Precision Score
2828
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 06:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D22 |
| Motherboard | Micro-Star International Co., Ltd. H510M-A PRO (MS-7D22) |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
819
152.4 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.7 IPS |
|
|
Image Classification (Q)
|
99% |
759
141.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1986
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20129
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11046
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16891
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.3 IPS |
|
|
Object Detection (HP)
|
100% |
1941
153.9 IPS |
|
|
Object Detection (Q)
|
83% |
1054
85.2 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (Q)
|
97% |
2061
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7579
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6910
53.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6172
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33602
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20492
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27502
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7265
268.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4896
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (Q)
|
97% |
721
965.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2066
35.7 IPS |
|
|
Machine Translation (Q)
|
70% |
989
18.5 IPS |
