Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
109
Single Precision Score
108
Half Precision Score
78
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | pingwinator |
| Upload Date | October 17 2025 11:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-13600 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (Q)
|
97% |
50
9.34 IPS |
|
|
Image Segmentation (SP)
|
100% |
88
1.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
88
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
69
1.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
99
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
98
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
84
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.80 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.81 IPS |
|
|
Object Detection (Q)
|
87% |
48
3.82 IPS |
|
|
Face Detection (SP)
|
100% |
202
2.40 IPS |
|
|
Face Detection (HP)
|
100% |
202
2.40 IPS |
|
|
Face Detection (Q)
|
97% |
151
1.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
143
1.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
140
1.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
96
0.89 IPS |
|
|
Style Transfer (SP)
|
100% |
297
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
297
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
254
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66
2.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52
1.91 IPS |
|
|
Text Classification (SP)
|
100% |
81
108.3 IPS |
|
|
Text Classification (HP)
|
100% |
80
107.2 IPS |
|
|
Text Classification (Q)
|
91% |
54
72.6 IPS |
|
|
Machine Translation (SP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.54 IPS |
|
|
Machine Translation (Q)
|
58% |
65
1.56 IPS |
