Micro-Star International Co., Ltd. H110 Gaming Codex 3 (MS-B913)
Geekbench AI Score
1762
Single Precision Score
1830
Half Precision Score
2921
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | mahoxy |
| Upload Date | January 02 2026 04:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7400 CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. H110 Gaming Codex 3 (MS-B913) |
| Motherboard | Micro-Star International Co., Ltd. MS-7996 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
877
163.1 IPS |
|
|
Image Classification (HP)
|
100% |
1172
218.0 IPS |
|
|
Image Classification (Q)
|
100% |
1895
352.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1978
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2446
2.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
4937
5.79 IPS |
|
|
Object Detection (SP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (HP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (Q)
|
87% |
2005
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
4964
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2979
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2974
22.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5409
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7270
9.35 IPS |
|
|
Style Transfer (HP)
|
100% |
7207
9.27 IPS |
|
|
Style Transfer (Q)
|
98% |
13848
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2853
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
1570
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (Q)
|
91% |
689
925.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1672
28.8 IPS |
