Micro-Star International Co., Ltd. PRO H610 DP10 (MS-B210)
Geekbench AI Score
3735
Single Precision Score
1256
Half Precision Score
6955
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bloghtpc |
| Upload Date | January 21 2026 07:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO H610 DP10 (MS-B210) |
| Motherboard | Micro-Star International Co., Ltd. MS-B2101 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3022
561.9 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
99% |
5027
937.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9427
153.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6731
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3520
4.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
21387
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2810
222.9 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
5620
451.7 IPS |
|
|
Face Detection (SP)
|
100% |
8660
102.9 IPS |
|
|
Face Detection (HP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
8617
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1546
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14371
114.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15641
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8275
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21955
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4823
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
592
790.1 IPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2827
56.8 IPS |
