System manufacturer System Product Name
Geekbench AI Score
163
Single Precision Score
164
Half Precision Score
110
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | December 25 2024 07:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X470-PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 6.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.1 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
97% |
71
13.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
91
1.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
123
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.49 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.49 IPS |
|
|
Object Detection (Q)
|
87% |
68
5.47 IPS |
|
|
Face Detection (SP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
97% |
219
2.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
224
1.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
225
1.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
135
1.24 IPS |
|
|
Style Transfer (SP)
|
100% |
449
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
448
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
367
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
75
2.79 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.8 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.9 IPS |
|
|
Text Classification (Q)
|
91% |
75
100.5 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (Q)
|
58% |
86
2.06 IPS |
