GEEKOM A9 Max
Geekbench AI Score
1946
Single Precision Score
1898
Half Precision Score
1849
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | DerHolgi |
| Upload Date | January 21 2026 09:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.3 |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.2 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (Q)
|
99% |
1313
244.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1242
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3833
4.49 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
1440
114.3 IPS |
|
|
Object Detection (Q)
|
85% |
1427
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
2275
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
2955
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2111
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2145
16.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2311
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2711
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2721
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
6476
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1948
72.2 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
823
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (Q)
|
58% |
741
17.4 IPS |
