SLIMBOOK EVO15-AI9-STP
Geekbench AI Score
1714
Single Precision Score
1712
Half Precision Score
1612
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | gbpms |
| Upload Date | March 26 2026 05:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | SLIMBOOK EVO15-AI9-STP |
| Motherboard | SLIMBOOK EVO15-AI9-STP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (Q)
|
99% |
1226
228.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1129
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2102
2.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
3016
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (Q)
|
85% |
1345
108.3 IPS |
|
|
Face Detection (SP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
2664
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1936
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1911
14.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2155
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2321
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2325
2.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4925
6.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1817
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
718
964.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (Q)
|
58% |
575
13.5 IPS |
