Gigabyte Technology Co., Ltd. H610M H V2
Geekbench AI Score
3435
Single Precision Score
1429
Half Precision Score
5968
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 06:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M H V2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2698
501.8 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
99% |
5152
960.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2935
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5508
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3996
4.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
19004
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.7 IPS |
|
|
Object Detection (Q)
|
86% |
5388
433.0 IPS |
|
|
Face Detection (SP)
|
100% |
6364
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
8107
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7433
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1923
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13244
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13181
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9731
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21131
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3890
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.2 IPS |
|
|
Text Classification (Q)
|
97% |
1512
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2778
55.8 IPS |
