Micro-Star International Co., Ltd. MS-7D20
Geekbench AI Score
1891
Single Precision Score
1900
Half Precision Score
1050
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 15 2025 12:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-11500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D20 |
| Motherboard | Micro-Star International Co., Ltd. B560M-A PRO (MS-7D20) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (Q)
|
99% |
641
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2259
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1868
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (Q)
|
85% |
648
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
1732
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2249
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2197
16.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1388
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2825
3.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2832
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3914
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1013
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
570
766.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2102
36.2 IPS |
|
|
Machine Translation (Q)
|
58% |
513
12.0 IPS |
