Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
1770
Single Precision Score
1767
Half Precision Score
1329
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | hermeschen1116 |
| Upload Date | October 04 2024 03:41 AM |
| 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% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
1650
306.8 IPS |
|
|
Image Classification (Q)
|
99% |
869
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
977
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1625
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1637
1.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2382
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (Q)
|
85% |
906
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
1988
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
2275
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1748
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1740
13.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1725
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1519
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1520
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4022
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1326
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
725
973.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
58% |
620
14.5 IPS |
