System manufacturer System Product Name
Geekbench AI Score
100
Single Precision Score
97
Half Precision Score
70
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 09 2024 07:54 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% |
62
11.6 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.57 IPS |
|
|
Image Classification (Q)
|
97% |
24
4.57 IPS |
|
|
Image Segmentation (SP)
|
100% |
46
0.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
49
0.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
38
0.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
99
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
86
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.83 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.83 IPS |
|
|
Object Detection (Q)
|
87% |
49
3.89 IPS |
|
|
Face Detection (SP)
|
100% |
207
2.46 IPS |
|
|
Face Detection (HP)
|
100% |
207
2.46 IPS |
|
|
Face Detection (Q)
|
97% |
157
1.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
147
1.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
146
1.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
99
0.91 IPS |
|
|
Style Transfer (SP)
|
100% |
303
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
301
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
257
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66
2.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53
1.98 IPS |
|
|
Text Classification (SP)
|
100% |
76
101.7 IPS |
|
|
Text Classification (HP)
|
100% |
77
102.3 IPS |
|
|
Text Classification (Q)
|
91% |
54
72.2 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.31 IPS |
|
|
Machine Translation (HP)
|
100% |
135
2.32 IPS |
|
|
Machine Translation (Q)
|
58% |
68
1.61 IPS |
