Tianbei GEM12
Geekbench AI Score
1591
Single Precision Score
769
Half Precision Score
3235
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sandsaber |
| Upload Date | June 10 2025 12:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.8 IPS |
|
|
Image Classification (Q)
|
99% |
4436
827.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1894
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
11999
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
86% |
3497
281.0 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
901
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
4367
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3126
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
988
7.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
3745
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5628
7.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3986
5.12 IPS |
|
|
Style Transfer (Q)
|
98% |
11857
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1261
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
739
986.1 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.5 IPS |
|
|
Text Classification (Q)
|
97% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
65% |
1640
33.0 IPS |
