Tianbei GEM12
Geekbench AI Score
5224
Single Precision Score
5204
Half Precision Score
8461
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 02:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX with Radeon Graphics |
| 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% |
3361
625.0 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.6 IPS |
|
|
Image Classification (Q)
|
100% |
5757
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3798
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3749
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6149
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
13787
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
3030
240.4 IPS |
|
|
Object Detection (HP)
|
100% |
3044
241.5 IPS |
|
|
Object Detection (Q)
|
87% |
5606
449.6 IPS |
|
|
Face Detection (SP)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
6192
73.6 IPS |
|
|
Face Detection (Q)
|
97% |
15422
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8168
62.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
14753
116.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18326
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18372
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39809
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8193
303.5 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (Q)
|
91% |
1902
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4930
84.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4874
84.0 IPS |
