Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
2525
Single Precision Score
1365
Half Precision Score
4463
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 04:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-14100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI DDR4 (MS-7D46) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i3-14100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1877
349.2 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (Q)
|
99% |
4288
799.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2973
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
12808
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1869
148.3 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
86% |
3585
288.1 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
6002
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4719
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1976
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9998
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8697
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7306
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
12523
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1851
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
626
839.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2302
46.3 IPS |
