LENOVO 83EX
Geekbench AI Score
17817
Single Precision Score
27474
Half Precision Score
14487
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | heartcrazed |
| Upload Date | February 09 2025 12:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83EX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6995
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
10774
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
6955
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10424
169.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12767
207.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9836
159.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
123135
143.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
286480
334.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
104714
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
8671
687.8 IPS |
|
|
Object Detection (HP)
|
100% |
13696
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7777
626.0 IPS |
|
|
Face Detection (SP)
|
100% |
19242
228.6 IPS |
|
|
Face Detection (HP)
|
100% |
27469
326.4 IPS |
|
|
Face Detection (Q)
|
97% |
17984
214.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43857
337.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
83544
643.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36358
290.6 IPS |
|
|
Style Transfer (SP)
|
100% |
181641
233.5 IPS |
|
|
Style Transfer (HP)
|
100% |
424399
545.6 IPS |
|
|
Style Transfer (Q)
|
98% |
163002
210.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32429
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43753
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23815
881.9 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3437
4.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1823
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2887
49.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3101
53.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1580
29.6 IPS |
