LENOVO 83F1
Geekbench AI Score
21162
Single Precision Score
39981
Half Precision Score
16157
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | igormzh |
| Upload Date | September 07 2025 10:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83F1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9279
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
16759
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8505
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15809
256.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23687
384.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14482
235.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106788
124.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
332937
388.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
85605
100.3 IPS |
|
|
Object Detection (SP)
|
100% |
11107
881.0 IPS |
|
|
Object Detection (HP)
|
100% |
19591
1.55 KIPS |
|
|
Object Detection (Q)
|
83% |
9558
772.2 IPS |
|
|
Face Detection (SP)
|
100% |
26883
319.4 IPS |
|
|
Face Detection (HP)
|
100% |
46883
557.1 IPS |
|
|
Face Detection (Q)
|
97% |
23669
282.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
49193
379.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106400
819.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
41416
330.6 IPS |
|
|
Style Transfer (SP)
|
100% |
152138
195.6 IPS |
|
|
Style Transfer (HP)
|
100% |
548666
705.3 IPS |
|
|
Style Transfer (Q)
|
98% |
134431
173.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30872
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62555
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23642
875.4 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2195
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4862
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5410
93.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1760
33.0 IPS |
