FEVM FAEX9
Geekbench AI Score
23878
Single Precision Score
32622
Half Precision Score
18738
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 10:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FEVM FAEX9 |
| Motherboard | FEVM mini pc |
| Power Plan | Balanced |
| 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% |
11485
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
12436
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10045
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20270
328.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16212
262.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17045
277.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
120481
140.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
281047
327.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
103259
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
7081
561.7 IPS |
|
|
Object Detection (HP)
|
100% |
12858
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
6893
553.6 IPS |
|
|
Face Detection (SP)
|
100% |
28641
340.3 IPS |
|
|
Face Detection (HP)
|
100% |
44040
523.3 IPS |
|
|
Face Detection (Q)
|
97% |
23799
283.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
53243
410.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73019
562.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
44460
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
223681
287.5 IPS |
|
|
Style Transfer (HP)
|
100% |
411916
529.5 IPS |
|
|
Style Transfer (Q)
|
98% |
187020
241.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40003
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53730
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30557
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2391
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6573
113.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7411
127.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3030
56.8 IPS |
