Micro-Star International Co., Ltd. MS-7D22
Geekbench AI Score
11088
Single Precision Score
15475
Half Precision Score
8077
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AyJay03 |
| Upload Date | May 24 2025 10:22 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4631
861.2 IPS |
|
|
Image Classification (HP)
|
99% |
5637
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
3579
665.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5190
84.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4137
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
87220
101.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
187360
218.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
70745
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
4931
391.1 IPS |
|
|
Object Detection (HP)
|
100% |
6277
497.9 IPS |
|
|
Object Detection (Q)
|
85% |
4180
336.5 IPS |
|
|
Face Detection (SP)
|
100% |
10972
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
13446
159.8 IPS |
|
|
Face Detection (Q)
|
97% |
9302
110.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36204
278.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56640
436.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
24922
199.5 IPS |
|
|
Style Transfer (SP)
|
100% |
129032
165.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259578
333.7 IPS |
|
|
Style Transfer (Q)
|
98% |
105870
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21305
786.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27184
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14003
518.5 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3331
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1029
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
70% |
764
14.3 IPS |
