Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
4583
Single Precision Score
4617
Half Precision Score
10812
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | pingwinator |
| Upload Date | October 18 2025 08:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2740
509.5 IPS |
|
|
Image Classification (HP)
|
100% |
2797
520.2 IPS |
|
|
Image Classification (Q)
|
100% |
6506
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7260
117.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4975
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5003
5.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
18487
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (Q)
|
88% |
7075
567.1 IPS |
|
|
Face Detection (SP)
|
100% |
7667
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
15579
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6611
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6724
51.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17836
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14985
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14997
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52172
67.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3197
118.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10815
400.5 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4880
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4619
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4640
79.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4620
79.6 IPS |
