To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
131
Single Precision Score
130
Half Precision Score
96
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 13 2025 07:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock X470 Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.2 IPS |
|
|
Image Classification (Q)
|
97% |
59
11.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
80
1.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
107
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.93 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.96 IPS |
|
|
Object Detection (Q)
|
87% |
58
4.69 IPS |
|
|
Face Detection (SP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
252
2.99 IPS |
|
|
Face Detection (Q)
|
97% |
187
2.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
187
1.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
186
1.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
124
1.14 IPS |
|
|
Style Transfer (SP)
|
100% |
391
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
389
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
326
0.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83
3.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
83
3.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
66
2.46 IPS |
|
|
Text Classification (SP)
|
100% |
99
132.8 IPS |
|
|
Text Classification (HP)
|
100% |
95
126.9 IPS |
|
|
Text Classification (Q)
|
91% |
69
92.4 IPS |
|
|
Machine Translation (SP)
|
100% |
131
2.26 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (Q)
|
58% |
68
1.61 IPS |
