Tianbei GEM12
Geekbench AI Score
7967
Single Precision Score
11221
Half Precision Score
5962
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bakacai |
| Upload Date | January 08 2025 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
3272
608.4 IPS |
|
|
Image Classification (HP)
|
100% |
4642
863.2 IPS |
|
|
Image Classification (Q)
|
100% |
2991
556.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3880
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4473
72.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3141
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
38445
44.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
65721
76.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28324
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
2808
222.7 IPS |
|
|
Object Detection (HP)
|
100% |
3948
313.2 IPS |
|
|
Object Detection (Q)
|
87% |
2596
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
6090
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
10994
130.6 IPS |
|
|
Face Detection (Q)
|
97% |
5059
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18056
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27283
210.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13752
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
65553
84.3 IPS |
|
|
Style Transfer (HP)
|
100% |
107175
137.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44574
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13468
497.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19844
732.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8831
327.0 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1750
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1716
32.2 IPS |
