Tianbei GEM12
Geekbench AI Score
2889
Single Precision Score
1337
Half Precision Score
6307
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 05:24 PM |
| Views | 2 |
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 |
| Power Plan | Balanced |
| 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% |
2266
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.5 IPS |
|
|
Image Classification (Q)
|
99% |
7362
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8612
140.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4263
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3670
4.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
15632
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
5954
478.5 IPS |
|
|
Face Detection (SP)
|
100% |
4622
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
8924
106.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1935
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6550
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10297
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9749
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17595
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4608
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
720
960.6 IPS |
|
|
Text Classification (Q)
|
97% |
1428
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2496
50.2 IPS |
