AMD-FP7-NAS
Geekbench AI Score
1829
Single Precision Score
1831
Half Precision Score
1178
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 30 2025 02:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | AMD-FP7-NAS |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (Q)
|
99% |
937
174.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
806
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2222
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2499
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
85% |
807
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
1784
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2137
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2155
16.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1450
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2664
3.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2645
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
4240
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1146
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
574
770.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (Q)
|
58% |
470
11.0 IPS |
