Gigabyte Technology Co., Ltd. H610M H V2
Geekbench AI Score
18537
Single Precision Score
32960
Half Precision Score
14348
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 06:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
7965
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14485
2.69 KIPS |
|
|
Image Classification (Q)
|
99% |
7063
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11531
186.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15567
252.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10639
173.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
95104
111.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
292428
341.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
79816
93.5 IPS |
|
|
Object Detection (SP)
|
100% |
9945
788.8 IPS |
|
|
Object Detection (HP)
|
100% |
15967
1.27 KIPS |
|
|
Object Detection (Q)
|
83% |
8692
702.3 IPS |
|
|
Face Detection (SP)
|
100% |
22514
267.5 IPS |
|
|
Face Detection (HP)
|
100% |
34652
411.7 IPS |
|
|
Face Detection (Q)
|
97% |
19977
238.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45717
352.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97940
754.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
36499
291.8 IPS |
|
|
Style Transfer (SP)
|
100% |
147712
189.9 IPS |
|
|
Style Transfer (HP)
|
100% |
494985
636.3 IPS |
|
|
Style Transfer (Q)
|
98% |
123042
158.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27955
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52908
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21776
806.3 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4355
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2227
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1631
30.6 IPS |
