Tianbei GEM10
Geekbench AI Score
3161
Single Precision Score
1398
Half Precision Score
6730
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Tianbei GEM10 |
| Motherboard | Tianbei GEM10 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3371
626.8 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (Q)
|
99% |
7875
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9694
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3479
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17323
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
86% |
5954
478.5 IPS |
|
|
Face Detection (SP)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
9095
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1908
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6546
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10195
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9291
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19478
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.2 IPS |
|
|
Text Classification (Q)
|
97% |
1458
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2762
55.5 IPS |
