LENOVO 12TAS04400
Geekbench AI Score
5376
Single Precision Score
5186
Half Precision Score
15289
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 06:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 12TAS04400 |
| Motherboard | LENOVO 3317 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3950
734.7 IPS |
|
|
Image Classification (HP)
|
100% |
3874
720.4 IPS |
|
|
Image Classification (Q)
|
100% |
10703
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3899
63.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3414
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8395
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6860
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6787
7.92 IPS |
|
|
Pose Estimation (Q)
|
98% |
30409
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3243
257.2 IPS |
|
|
Object Detection (HP)
|
100% |
2744
217.6 IPS |
|
|
Object Detection (Q)
|
88% |
8096
649.0 IPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
5014
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
24018
285.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8918
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9253
71.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
27806
216.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20311
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18986
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80890
104.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3472
128.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15613
578.2 IPS |
|
|
Text Classification (SP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (Q)
|
92% |
5733
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4652
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5428
93.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6528
112.4 IPS |
