System manufacturer System Product Name
Geekbench AI Score
598
Single Precision Score
625
Half Precision Score
392
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 09 2024 07:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| 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 | 94.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
99% |
451
84.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
249
4.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
1512
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1478
1.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
1398
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.8 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
85% |
217
17.5 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
901
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
974
7.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
753
5.80 IPS |
|
|
Depth Estimation (Q)
|
63% |
486
4.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1919
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1938
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2721
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
411
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
53
70.7 IPS |
|
|
Text Classification (HP)
|
100% |
646
862.1 IPS |
|
|
Text Classification (Q)
|
92% |
39
52.6 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
58% |
134
3.15 IPS |
