Tianbei GEM12
Geekbench AI Score
3441
Single Precision Score
1589
Half Precision Score
6445
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neph |
| Upload Date | May 31 2025 05:21 PM |
| Views | 4 |
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 Professionnel (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| Power Plan | Utilisation normale |
| 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% |
2744
510.4 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
99% |
7994
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3733
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6369
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
23783
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2830
224.5 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
86% |
7472
600.5 IPS |
|
|
Face Detection (SP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
9415
112.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8066
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2437
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7649
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14805
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12884
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18545
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2393
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3173
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
1937
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1896
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2905
58.4 IPS |
