SAPPHIRE Technology Ltd SAPPHIRE EDGE AI 350
Geekbench AI Score
5008
Single Precision Score
5012
Half Precision Score
13852
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 11:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| 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% |
3082
573.2 IPS |
|
|
Image Classification (HP)
|
100% |
3111
578.5 IPS |
|
|
Image Classification (Q)
|
100% |
9193
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3565
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10147
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6110
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (Q)
|
98% |
23783
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2825
224.1 IPS |
|
|
Object Detection (HP)
|
100% |
2882
228.6 IPS |
|
|
Object Detection (Q)
|
88% |
8696
697.1 IPS |
|
|
Face Detection (SP)
|
100% |
7521
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
7492
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
23263
276.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8399
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8322
64.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
23349
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16539
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16655
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64855
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3351
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11476
425.0 IPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5022
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4774
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6645
114.5 IPS |
