Tianbei GEM12
Geekbench AI Score
2576
Single Precision Score
815
Half Precision Score
4679
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 03:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (Q)
|
94% |
4666
872.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
2323
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6177
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4849
5.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
11953
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (Q)
|
58% |
3453
377.3 IPS |
|
|
Face Detection (SP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
96% |
11080
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4683
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1281
9.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
9240
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10471
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8392
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
12490
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2366
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
710
947.2 IPS |
|
|
Text Classification (Q)
|
97% |
1327
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
68% |
2805
54.2 IPS |
