Tianbei GEM12
Geekbench AI Score
7017
Single Precision Score
10234
Half Precision Score
5069
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 05:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
2864
532.5 IPS |
|
|
Image Classification (HP)
|
100% |
4232
787.0 IPS |
|
|
Image Classification (Q)
|
100% |
2460
457.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3795
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4687
76.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2944
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
38432
44.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70840
82.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
27752
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
3805
301.9 IPS |
|
|
Object Detection (Q)
|
87% |
2436
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
5744
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
10691
127.0 IPS |
|
|
Face Detection (Q)
|
97% |
4789
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17046
131.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22644
174.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10048
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52862
68.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90025
115.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34348
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10006
369.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16228
599.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6248
231.4 IPS |
|
|
Text Classification (SP)
|
100% |
1731
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1446
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1532
28.7 IPS |
