AMD-FP7-NAS
Geekbench AI Score
3060
Single Precision Score
767
Half Precision Score
6624
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 03:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 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 | 27.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
97% |
6716
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
3142
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6712
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3016
3.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
22937
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2190
173.7 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
86% |
6292
505.7 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
97% |
14978
178.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7445
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1171
9.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
12540
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8990
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8072
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21682
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2557
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2615
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
1600
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.1 IPS |
|
|
Text Classification (Q)
|
97% |
1740
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
65% |
2882
57.9 IPS |
