Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
12344
Single Precision Score
19070
Half Precision Score
19881
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 23 2025 10:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5264
978.9 IPS |
|
|
Image Classification (HP)
|
100% |
7516
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
7492
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12925
209.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17409
282.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17730
287.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
64444
75.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
187260
218.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
254638
298.1 IPS |
|
|
Object Detection (SP)
|
100% |
4919
390.2 IPS |
|
|
Object Detection (HP)
|
100% |
8405
666.7 IPS |
|
|
Object Detection (Q)
|
88% |
8975
719.3 IPS |
|
|
Face Detection (SP)
|
100% |
23036
273.7 IPS |
|
|
Face Detection (HP)
|
100% |
31856
378.5 IPS |
|
|
Face Detection (Q)
|
100% |
31717
376.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24379
187.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47043
362.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
50459
392.2 IPS |
|
|
Style Transfer (SP)
|
100% |
168606
216.7 IPS |
|
|
Style Transfer (HP)
|
100% |
282503
363.2 IPS |
|
|
Style Transfer (Q)
|
98% |
347722
448.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16809
620.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23266
859.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23119
856.2 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1487
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2049
35.3 IPS |
