ASUS System Product Name
Geekbench AI Score
178
Single Precision Score
178
Half Precision Score
121
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | Alex647 |
| Upload Date | April 25 2025 05:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450M-PRO S |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (Q)
|
97% |
79
14.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
102
1.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
128
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.20 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.19 IPS |
|
|
Object Detection (Q)
|
87% |
76
6.09 IPS |
|
|
Face Detection (SP)
|
100% |
331
3.93 IPS |
|
|
Face Detection (HP)
|
100% |
331
3.94 IPS |
|
|
Face Detection (Q)
|
97% |
242
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
152
1.40 IPS |
|
|
Style Transfer (SP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
389
0.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
109
4.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
80
2.98 IPS |
|
|
Text Classification (SP)
|
100% |
133
178.2 IPS |
|
|
Text Classification (HP)
|
100% |
133
178.0 IPS |
|
|
Text Classification (Q)
|
91% |
87
117.1 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (Q)
|
58% |
90
2.14 IPS |
