Gigabyte Technology Co., Ltd. B760I AORUS PRO
Geekbench AI Score
2479
Single Precision Score
1262
Half Precision Score
5396
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 07:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760I AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B760I AORUS PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1942
361.2 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (Q)
|
99% |
4560
850.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2628
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3132
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2677
3.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
13725
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
86% |
4609
370.4 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
1536
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
6768
80.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4231
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1737
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10892
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8096
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6930
8.91 IPS |
|
|
Style Transfer (Q)
|
98% |
18050
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3540
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1690
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3472
69.8 IPS |
