Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
1977
Single Precision Score
1978
Half Precision Score
1351
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | hermeschen1116 |
| Upload Date | December 30 2024 08:17 AM |
| Views | 8 |
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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (Q)
|
99% |
873
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
979
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1930
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
2426
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (Q)
|
85% |
910
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
2352
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
2279
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2035
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2039
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1747
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1881
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1881
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
4357
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2062
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1326
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2048
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
729
978.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2066
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (Q)
|
58% |
642
15.1 IPS |
