Tianbei GEM12
Geekbench AI Score
2212
Single Precision Score
1025
Half Precision Score
5040
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hgy3958 |
| Upload Date | August 24 2025 03:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Tianbei GEM12 |
| Motherboard | Tianbei GEM12 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| 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% |
1647
306.3 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
99% |
4618
861.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
5311
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3226
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2842
3.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
13058
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
4817
387.1 IPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6985
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4293
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1533
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5379
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7921
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7288
9.37 IPS |
|
|
Style Transfer (Q)
|
98% |
19180
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3673
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
529
705.8 IPS |
|
|
Text Classification (Q)
|
97% |
1115
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2323
46.7 IPS |
