N/A
Geekbench AI Score
170
Single Precision Score
170
Half Precision Score
164
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | August 31 2025 10:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
50
9.38 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.25 IPS |
|
|
Image Classification (Q)
|
99% |
50
9.37 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
237
3.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1704
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1733
2.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
1617
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.24 IPS |
|
|
Object Detection (HP)
|
100% |
92
7.27 IPS |
|
|
Object Detection (Q)
|
85% |
91
7.32 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
97% |
292
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
329
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
324
2.50 IPS |
|
|
Depth Estimation (Q)
|
63% |
265
2.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2898
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2895
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
3396
4.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
179
6.62 IPS |
|
|
Text Classification (SP)
|
100% |
9
11.9 IPS |
|
|
Text Classification (HP)
|
100% |
9
11.9 IPS |
|
|
Text Classification (Q)
|
92% |
10
13.3 IPS |
|
|
Machine Translation (SP)
|
100% |
23
0.40 IPS |
|
|
Machine Translation (HP)
|
100% |
23
0.40 IPS |
|
|
Machine Translation (Q)
|
58% |
18
0.41 IPS |
