Micro-Star International Co., Ltd. MS-7D22
Geekbench AI Score
2823
Single Precision Score
1255
Half Precision Score
5459
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AyJay03 |
| Upload Date | May 24 2025 10:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700F |
| 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% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.4 IPS |
|
|
Image Classification (Q)
|
99% |
5835
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2754
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4741
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3870
4.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
17862
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
86% |
5554
446.4 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
7419
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6509
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12308
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11270
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9460
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15957
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3394
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.8 IPS |
|
|
Text Classification (Q)
|
97% |
1233
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2419
48.6 IPS |
