FEVM FAEX1
Geekbench AI Score
7203
Single Precision Score
6512
Half Precision Score
16966
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | January 01 2026 04:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
4495
835.9 IPS |
|
|
Image Classification (HP)
|
100% |
4211
783.1 IPS |
|
|
Image Classification (Q)
|
100% |
12170
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4773
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4113
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11602
188.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10506
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10388
12.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
31043
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (HP)
|
100% |
3461
274.5 IPS |
|
|
Object Detection (Q)
|
88% |
11598
929.7 IPS |
|
|
Face Detection (SP)
|
100% |
11486
136.5 IPS |
|
|
Face Detection (HP)
|
100% |
9155
108.8 IPS |
|
|
Face Detection (Q)
|
100% |
27429
325.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10291
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9472
73.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26681
207.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26263
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25416
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83840
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15930
590.0 IPS |
|
|
Text Classification (SP)
|
100% |
3817
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
92% |
4295
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
6343
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6770
116.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9263
159.6 IPS |
