Gigabyte Technology Co., Ltd. B75M-D3V-JP
Geekbench AI Score
1010
Single Precision Score
544
Half Precision Score
863
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 19 2025 07:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3570 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B75M-D3V-JP |
| Motherboard | Gigabyte Technology Co., Ltd. B75M-D3V-JP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
742
137.9 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.8 IPS |
|
|
Image Classification (Q)
|
96% |
688
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
538
8.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1471
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
1330
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
58% |
483
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (Q)
|
96% |
1448
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1800
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
800
6.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
1508
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3270
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2726
3.50 IPS |
|
|
Style Transfer (Q)
|
87% |
2882
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
671
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.6 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.5 IPS |
|
|
Text Classification (Q)
|
97% |
274
366.8 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
68% |
839
16.2 IPS |
