FEVM FAEX1
Geekbench AI Score
23621
Single Precision Score
33326
Half Precision Score
19902
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | January 01 2026 04:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | FEVM FAEX1 |
| Motherboard | FEVM FAEX1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11872
2.21 KIPS |
|
|
Image Classification (HP)
|
100% |
12765
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11004
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13746
222.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16803
272.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18112
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
122604
143.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
273796
319.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
102978
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
7288
578.1 IPS |
|
|
Object Detection (HP)
|
100% |
12696
1.01 KIPS |
|
|
Object Detection (Q)
|
87% |
7155
574.6 IPS |
|
|
Face Detection (SP)
|
100% |
29717
353.1 IPS |
|
|
Face Detection (HP)
|
100% |
45977
546.3 IPS |
|
|
Face Detection (Q)
|
97% |
24882
296.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53167
409.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
70751
545.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
44520
357.0 IPS |
|
|
Style Transfer (SP)
|
100% |
221234
284.4 IPS |
|
|
Style Transfer (HP)
|
100% |
390300
501.7 IPS |
|
|
Style Transfer (Q)
|
98% |
191044
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38234
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53968
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31476
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2963
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6920
119.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7887
135.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3365
63.1 IPS |
