GEEKOM A9 Mega
Geekbench AI Score
6568
Single Precision Score
6727
Half Precision Score
17790
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | k_higuchi_bbr |
| Upload Date | December 31 2025 08:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A9 Mega |
| Motherboard | Standard A9 Mega |
| 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% |
3942
733.0 IPS |
|
|
Image Classification (HP)
|
100% |
4160
773.7 IPS |
|
|
Image Classification (Q)
|
100% |
11620
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4508
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12966
210.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10408
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10245
12.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
33429
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
4412
350.0 IPS |
|
|
Object Detection (HP)
|
100% |
3741
296.7 IPS |
|
|
Object Detection (Q)
|
88% |
10632
852.3 IPS |
|
|
Face Detection (SP)
|
100% |
11130
132.2 IPS |
|
|
Face Detection (HP)
|
100% |
9347
111.1 IPS |
|
|
Face Detection (Q)
|
100% |
31839
378.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8804
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8747
67.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26821
208.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24810
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27833
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
103805
133.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13941
516.3 IPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6645
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5592
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5546
95.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7224
124.4 IPS |
