Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
1758
Single Precision Score
1758
Half Precision Score
1332
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | hermeschen1116 |
| Upload Date | November 17 2024 12:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1631
303.4 IPS |
|
|
Image Classification (HP)
|
100% |
1639
304.9 IPS |
|
|
Image Classification (Q)
|
99% |
873
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
975
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2377
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (Q)
|
85% |
910
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
1957
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
2276
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1693
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1707
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1721
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1478
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1480
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
3984
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1325
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
732
983.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (Q)
|
58% |
633
14.9 IPS |
