SLIMBOOK EVO15-AI9-STP
Geekbench AI Score
1303
Single Precision Score
1299
Half Precision Score
836
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | gbpms |
| Upload Date | March 26 2026 05:37 PM |
| Views | 5 |
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 | 2.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
903
167.9 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.3 IPS |
|
|
Image Classification (Q)
|
99% |
656
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
572
9.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1650
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1670
1.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
1776
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
942
74.7 IPS |
|
|
Object Detection (Q)
|
85% |
706
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1295
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1569
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1552
12.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1054
9.88 IPS |
|
|
Style Transfer (SP)
|
100% |
2043
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2033
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3043
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
852
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
355
477.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
58% |
283
6.63 IPS |
