Tianbei GEM12
Geekbench AI Score
2440
Single Precision Score
692
Half Precision Score
3503
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | peppaz |
| Upload Date | August 28 2024 01:44 PM |
| Views | 4 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
4040
753.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
2145
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3610
4.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
18906
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (Q)
|
88% |
1621
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (Q)
|
97% |
4338
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5584
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
76% |
8677
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10946
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9413
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19622
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2462
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.9 IPS |
|
|
Text Classification (Q)
|
97% |
372
497.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
60% |
1553
34.6 IPS |
