Tianbei GEM12
Geekbench AI Score
7757
Single Precision Score
11651
Half Precision Score
5848
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hgy3958 |
| Upload Date | August 24 2025 03:04 PM |
| Views | 9 |
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 |
| 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% |
2885
536.5 IPS |
|
|
Image Classification (HP)
|
100% |
4466
830.6 IPS |
|
|
Image Classification (Q)
|
100% |
2715
504.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3974
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4895
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3223
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
38444
44.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
73805
86.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28307
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
2799
222.1 IPS |
|
|
Object Detection (HP)
|
100% |
3943
312.8 IPS |
|
|
Object Detection (Q)
|
87% |
2601
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
6000
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
11381
135.2 IPS |
|
|
Face Detection (Q)
|
97% |
4992
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17987
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28683
221.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
14049
112.7 IPS |
|
|
Style Transfer (SP)
|
100% |
65822
84.6 IPS |
|
|
Style Transfer (HP)
|
100% |
113640
146.1 IPS |
|
|
Style Transfer (Q)
|
98% |
44053
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12646
467.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22214
820.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8510
315.1 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1589
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1740
32.6 IPS |
