MSI MS-7A67
Geekbench AI Score
11806
Single Precision Score
19685
Half Precision Score
8517
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lemaru |
| Upload Date | January 26 2025 03:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MSI MS-7A67 |
| Motherboard | MSI B250I GAMING PRO AC (MS-7A67) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4981
926.4 IPS |
|
|
Image Classification (HP)
|
100% |
7837
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
3936
734.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7745
125.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9785
158.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6382
103.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
57476
67.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
190383
222.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
50186
58.8 IPS |
|
|
Object Detection (SP)
|
100% |
6054
480.2 IPS |
|
|
Object Detection (HP)
|
100% |
10396
824.6 IPS |
|
|
Object Detection (Q)
|
84% |
4794
386.6 IPS |
|
|
Face Detection (SP)
|
100% |
14657
174.2 IPS |
|
|
Face Detection (HP)
|
100% |
21531
255.8 IPS |
|
|
Face Detection (Q)
|
97% |
12104
144.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32524
250.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58055
447.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
21892
175.2 IPS |
|
|
Style Transfer (SP)
|
100% |
105679
135.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229388
294.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87822
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18103
668.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27568
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11315
419.0 IPS |
|
|
Text Classification (SP)
|
100% |
1663
2.22 KIPS |
|
|
Text Classification (HP)
|
99% |
2873
3.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1046
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1208
22.7 IPS |
