LENOVO 90YJ005AMW
Geekbench AI Score
4273
Single Precision Score
1987
Half Precision Score
8909
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | todeveni |
| Upload Date | October 17 2025 03:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90YJ005AMW |
| Motherboard | LENOVO 3787 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3437
639.2 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.9 IPS |
|
|
Image Classification (Q)
|
99% |
7733
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8712
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5210
6.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
22126
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2981
236.5 IPS |
|
|
Object Detection (HP)
|
100% |
946
75.0 IPS |
|
|
Object Detection (Q)
|
86% |
8197
658.8 IPS |
|
|
Face Detection (SP)
|
100% |
7369
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
10731
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7683
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2651
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16387
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15224
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12589
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26018
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5559
205.9 IPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1942
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5221
104.9 IPS |
