Gigabyte Technology Co., Ltd. H310M HD3 2.0
Geekbench AI Score
1625
Single Precision Score
849
Half Precision Score
2235
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 12:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H310M HD3 2.0 |
| Motherboard | Gigabyte Technology Co., Ltd. H310M HD3 2.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
96% |
2545
475.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
1245
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
5104
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
1072
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
58% |
1406
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (Q)
|
96% |
3775
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3221
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1295
9.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
5285
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6624
8.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5357
6.89 IPS |
|
|
Style Transfer (Q)
|
87% |
6909
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1764
65.4 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.6 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1384
26.7 IPS |
