Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
3102
Single Precision Score
766
Half Precision Score
4510
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | March 01 2025 10:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1691
314.5 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
99% |
3359
626.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
2722
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5649
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3824
4.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
19003
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
88% |
1949
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
4222
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6474
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
939
7.23 IPS |
|
|
Depth Estimation (Q)
|
76% |
8547
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13562
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9192
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21311
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4042
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.2 IPS |
|
|
Text Classification (Q)
|
97% |
1557
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2128
47.5 IPS |
