SLIMBOOK EVO15-A8
Geekbench AI Score
2661
Single Precision Score
2673
Half Precision Score
1845
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Leonito |
| Upload Date | December 10 2025 09:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Slimbook OS |
| Model | SLIMBOOK EVO15-A8 |
| Motherboard | SLIMBOOK EVO15-A8 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.5 IPS |
|
|
Image Classification (Q)
|
99% |
1453
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3156
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3169
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
3780
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
2033
161.2 IPS |
|
|
Object Detection (HP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (Q)
|
85% |
1261
101.5 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (Q)
|
97% |
2803
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3173
24.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2210
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3518
4.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3569
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
6628
8.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2003
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2000
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1758
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
943
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3265
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (Q)
|
58% |
767
18.0 IPS |
