Gigabyte Technology Co., Ltd. H610M S2H DDR4
Geekbench AI Score
4014
Single Precision Score
1586
Half Precision Score
6621
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BrianG61UK |
| Upload Date | June 16 2025 02:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M S2H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M S2H DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3263
606.8 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
6050
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3346
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6659
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4193
4.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
22782
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2925
232.0 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
86% |
5938
477.2 IPS |
|
|
Face Detection (SP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
9034
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8553
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2219
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14619
116.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15715
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10589
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21305
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3029
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4108
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1605
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3188
64.1 IPS |
