Gigabyte Technology Co., Ltd. B85M-DS3H
Geekbench AI Score
321
Single Precision Score
236
Half Precision Score
458
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | janne77 |
| Upload Date | April 07 2026 06:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G3240 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B85M-DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B85M-DS3H |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Pentium G3240 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
195
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.8 IPS |
|
|
Image Classification (Q)
|
96% |
319
59.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
335
5.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
312
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
594
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
58% |
225
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.01 IPS |
|
|
Face Detection (Q)
|
96% |
756
9.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
337
2.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
710
5.65 IPS |
|
|
Style Transfer (SP)
|
100% |
947
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
892
1.15 IPS |
|
|
Style Transfer (Q)
|
87% |
1378
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
6.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
362
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
235
314.2 IPS |
|
|
Text Classification (HP)
|
100% |
175
234.0 IPS |
|
|
Text Classification (Q)
|
97% |
212
284.5 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (Q)
|
68% |
510
9.86 IPS |
