Micro-Star International Co., Ltd. MS-7D43
Geekbench AI Score
11489
Single Precision Score
11911
Half Precision Score
8837
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edwardhchan |
| Upload Date | January 16 2025 08:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D43 |
| Motherboard | Micro-Star International Co., Ltd. PRO B660M-A DDR4 (MS-7D43) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5074
943.6 IPS |
|
|
Image Classification (HP)
|
100% |
5134
954.8 IPS |
|
|
Image Classification (Q)
|
99% |
4315
804.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7057
114.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10981
178.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6285
102.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
73199
85.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
66281
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59405
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
6632
526.1 IPS |
|
|
Object Detection (HP)
|
99% |
6736
535.8 IPS |
|
|
Object Detection (Q)
|
85% |
5566
447.9 IPS |
|
|
Face Detection (SP)
|
100% |
16916
201.0 IPS |
|
|
Face Detection (HP)
|
100% |
16761
199.2 IPS |
|
|
Face Detection (Q)
|
97% |
13577
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28536
219.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
27970
216.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22339
178.8 IPS |
|
|
Style Transfer (SP)
|
100% |
160044
205.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134139
172.4 IPS |
|
|
Style Transfer (Q)
|
98% |
120043
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16448
607.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22703
838.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11785
436.4 IPS |
|
|
Text Classification (SP)
|
86% |
817
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
84% |
625
848.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2087
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1208
22.7 IPS |
