Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2173
Single Precision Score
1176
Half Precision Score
4815
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 23 2025 10:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| 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% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
99% |
4370
815.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2446
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
13098
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
4209
338.2 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
6179
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4049
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1689
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10084
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7732
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
6399
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
12961
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3460
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1536
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2649
53.2 IPS |
