SLIMBOOK EVO15-AI9-STP
Geekbench AI Score
1406
Single Precision Score
1421
Half Precision Score
1044
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | gbpms |
| Upload Date | March 26 2026 05:42 PM |
| Views | 8 |
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% |
959
178.3 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (Q)
|
99% |
773
144.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1379
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1832
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1898
2.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2114
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
85% |
880
70.8 IPS |
|
|
Face Detection (SP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
1755
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1753
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1691
13.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1319
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2151
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2103
2.70 IPS |
|
|
Style Transfer (Q)
|
98% |
3670
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1101
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
92% |
460
617.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
58% |
361
8.48 IPS |
