Tianbei GEM12
Geekbench AI Score
3285
Single Precision Score
1521
Half Precision Score
6651
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bakacai |
| Upload Date | January 08 2025 08:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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% |
2862
532.3 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.7 IPS |
|
|
Image Classification (Q)
|
99% |
7735
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3324
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5377
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4439
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
22205
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (Q)
|
86% |
7250
582.7 IPS |
|
|
Face Detection (SP)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
10451
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7235
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2352
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8026
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13103
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10916
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26148
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1797
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2973
59.7 IPS |
