GEEKOM A9 Mega
Geekbench AI Score
6450
Single Precision Score
2445
Half Precision Score
11202
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Nghayward |
| Upload Date | February 07 2026 12:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A9 Mega |
| Motherboard | Standard A9 Mega |
| 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% |
5432
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
99% |
11023
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16051
261.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15096
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11661
13.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
50240
58.9 IPS |
|
|
Object Detection (SP)
|
100% |
5107
405.1 IPS |
|
|
Object Detection (HP)
|
100% |
908
72.1 IPS |
|
|
Object Detection (Q)
|
86% |
13205
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
11914
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
13166
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16127
124.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3166
24.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11159
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31650
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26814
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49668
64.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4368
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3493
129.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4909
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1733
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4273
85.9 IPS |
