Tianbei GEM12
Geekbench AI Score
2235
Single Precision Score
2260
Half Precision Score
1392
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 02:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.94 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1802
335.2 IPS |
|
|
Image Classification (HP)
|
100% |
1989
369.8 IPS |
|
|
Image Classification (Q)
|
99% |
1059
197.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2269
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
2555
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (Q)
|
85% |
898
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
2309
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2268
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2274
17.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1793
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2423
3.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2409
3.10 IPS |
|
|
Style Transfer (Q)
|
98% |
4580
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1412
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (Q)
|
58% |
562
13.2 IPS |
