Gigabyte Technology Co., Ltd. AB350M-Gaming 3
Geekbench AI Score
1218
Single Precision Score
1215
Half Precision Score
1161
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Rich585 |
| Upload Date | November 11 2024 08:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | Gigabyte Technology Co., Ltd. AB350M-Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. AB350M-Gaming 3-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
829
154.1 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.3 IPS |
|
|
Image Classification (Q)
|
99% |
699
130.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
882
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1907
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2950
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (Q)
|
85% |
799
64.3 IPS |
|
|
Face Detection (SP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1435
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1530
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2161
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2171
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
4672
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1232
45.7 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.8 IPS |
|
|
Text Classification (HP)
|
100% |
746
996.1 IPS |
|
|
Text Classification (Q)
|
92% |
503
675.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (Q)
|
58% |
483
11.3 IPS |
