Gigabyte Technology Co., Ltd. B460MAORUSPRO
Geekbench AI Score
2429
Single Precision Score
2451
Half Precision Score
3813
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B460MAORUSPRO |
| Motherboard | Gigabyte Technology Co., Ltd. B460M AORUS PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (Q)
|
100% |
2406
447.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2645
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3073
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3065
3.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
5973
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (Q)
|
87% |
2469
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
6389
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3858
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3824
29.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6532
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8847
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8826
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16465
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3475
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (Q)
|
91% |
1138
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2550
43.9 IPS |
