N/A
Geekbench AI Score
2166
Single Precision Score
2174
Half Precision Score
1804
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | aeonsim |
| Upload Date | August 24 2024 07:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.3 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 53.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
1290
240.0 IPS |
|
|
Image Classification (Q)
|
99% |
1097
204.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1207
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3311
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3258
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
3708
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (Q)
|
86% |
1286
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
2667
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2616
20.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2698
20.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
2625
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4004
5.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3961
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
7437
9.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1860
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
762
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2890
49.8 IPS |
|
|
Machine Translation (Q)
|
58% |
786
18.5 IPS |
