SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 350
Geekbench AI Score
3996
Single Precision Score
2138
Half Precision Score
8903
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 350 |
| Motherboard | SAPPHIRE EDGE AI 350 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (HP)
|
100% |
894
166.3 IPS |
|
|
Image Classification (Q)
|
99% |
8225
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9894
160.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5145
6.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
22200
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3065
243.1 IPS |
|
|
Object Detection (HP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (Q)
|
86% |
8407
675.7 IPS |
|
|
Face Detection (SP)
|
100% |
6442
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
11128
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3049
23.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17907
142.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14842
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12879
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30956
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2649
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5225
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1614
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3963
79.6 IPS |
