Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
17714
Single Precision Score
30684
Half Precision Score
13889
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 09:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E (MS-7D48) |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7308
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
13818
2.57 KIPS |
|
|
Image Classification (Q)
|
99% |
6522
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10367
168.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13620
220.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9595
156.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
97394
113.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
283851
331.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
81303
95.2 IPS |
|
|
Object Detection (SP)
|
100% |
9611
762.4 IPS |
|
|
Object Detection (HP)
|
100% |
14793
1.17 KIPS |
|
|
Object Detection (Q)
|
83% |
8417
680.1 IPS |
|
|
Face Detection (SP)
|
100% |
21428
254.6 IPS |
|
|
Face Detection (HP)
|
100% |
31658
376.2 IPS |
|
|
Face Detection (Q)
|
97% |
19150
228.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47086
362.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
91155
702.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36907
295.1 IPS |
|
|
Style Transfer (SP)
|
100% |
146825
188.7 IPS |
|
|
Style Transfer (HP)
|
100% |
480045
617.1 IPS |
|
|
Style Transfer (Q)
|
98% |
126098
162.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26974
996.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48455
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20879
773.1 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2107
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3367
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1592
29.9 IPS |
