Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
2107
Single Precision Score
2099
Half Precision Score
1316
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | pingwinator |
| Upload Date | October 17 2025 09:48 PM |
| Views | 8 |
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% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (Q)
|
99% |
964
179.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2787
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
2742
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
1592
126.2 IPS |
|
|
Object Detection (Q)
|
85% |
1001
80.6 IPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
2085
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2676
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2625
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1745
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3574
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3572
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
5375
6.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1339
49.6 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
421
566.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
58% |
543
12.8 IPS |
