Gigabyte Technology Co., Ltd. H610M K DDR4
Geekbench AI Score
2251
Single Precision Score
1174
Half Precision Score
4860
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Faris-AL |
| Upload Date | April 12 2025 06:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
99% |
4598
857.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2522
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3231
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2753
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
13351
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (Q)
|
86% |
4456
358.1 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
6399
76.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4092
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1618
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10225
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7884
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6746
8.67 IPS |
|
|
Style Transfer (Q)
|
98% |
12836
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3191
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.4 IPS |
|
|
Text Classification (Q)
|
97% |
1532
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2600
52.2 IPS |
