ACEMAGIC Intel Core i7-11800H Default string Default string
Geekbench AI Score
1455
Single Precision Score
1438
Half Precision Score
1103
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | vm666 |
| Upload Date | June 26 2025 11:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| 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 | 78.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1060
197.1 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (Q)
|
99% |
888
165.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
928
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1909
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2153
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (HP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
85% |
625
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1791
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1749
13.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1397
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3025
3.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3070
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4493
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
949
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
511
686.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (Q)
|
58% |
492
11.6 IPS |
