Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
3224
Single Precision Score
1363
Half Precision Score
5707
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 07:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| 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 i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
99% |
5112
953.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2865
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5426
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3898
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
18544
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
5441
437.3 IPS |
|
|
Face Detection (SP)
|
100% |
4975
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
7673
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6999
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1917
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12255
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12347
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9423
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16667
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1862
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3799
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.7 IPS |
|
|
Text Classification (Q)
|
97% |
1583
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2634
52.9 IPS |
