Tianbei GEM12
Geekbench AI Score
1150
Single Precision Score
1228
Half Precision Score
2787
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | mrkoykang |
| Upload Date | May 09 2025 02:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
477
88.8 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
100% |
1741
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
868
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1496
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1615
1.88 IPS |
|
|
Pose Estimation (Q)
|
98% |
6991
8.18 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
88% |
1810
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
5007
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1746
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1811
14.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
4091
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4395
5.65 IPS |
|
|
Style Transfer (HP)
|
100% |
5194
6.68 IPS |
|
|
Style Transfer (Q)
|
98% |
14207
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
903
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
903
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2418
89.5 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
570
761.4 IPS |
|
|
Text Classification (Q)
|
92% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1747
30.1 IPS |
