SLIMBOOK EVO15-AI9-STP
Geekbench AI Score
2315
Single Precision Score
2324
Half Precision Score
1773
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | slimbook |
| Upload Date | August 18 2025 09:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Slimbook OS |
| 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 | 30.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1537
285.9 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (Q)
|
99% |
1247
232.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3117
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
3444
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (Q)
|
85% |
1352
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
2712
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2811
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2835
21.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2281
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4166
5.36 IPS |
|
|
Style Transfer (HP)
|
100% |
4168
5.36 IPS |
|
|
Style Transfer (Q)
|
98% |
6689
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1664
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1784
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2884
49.7 IPS |
|
|
Machine Translation (Q)
|
58% |
718
16.9 IPS |
