FEVM FAEX1
Geekbench AI Score
6197
Single Precision Score
2269
Half Precision Score
10829
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | January 01 2026 04:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
5017
933.0 IPS |
|
|
Image Classification (HP)
|
100% |
715
133.0 IPS |
|
|
Image Classification (Q)
|
99% |
10622
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15218
247.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14913
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11330
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
48761
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4733
375.5 IPS |
|
|
Object Detection (HP)
|
100% |
850
67.4 IPS |
|
|
Object Detection (Q)
|
86% |
13136
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
11495
136.6 IPS |
|
|
Face Detection (HP)
|
100% |
1898
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
13331
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16078
123.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3178
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11965
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30712
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26744
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51219
66.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4166
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4175
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1578
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3981
80.0 IPS |
