LENOVO 90YJ005AMW
Geekbench AI Score
5494
Single Precision Score
5435
Half Precision Score
15357
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | todeveni |
| Upload Date | October 17 2025 03:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 6-Core Processor |
| 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% |
3530
656.4 IPS |
|
|
Image Classification (HP)
|
100% |
3520
654.6 IPS |
|
|
Image Classification (Q)
|
100% |
9987
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3828
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3761
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10084
163.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6253
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6170
7.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
24297
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
3314
262.9 IPS |
|
|
Object Detection (HP)
|
100% |
3198
253.7 IPS |
|
|
Object Detection (Q)
|
88% |
10121
811.3 IPS |
|
|
Face Detection (SP)
|
100% |
8150
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
7949
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
25848
307.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8065
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8025
61.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
25324
197.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17215
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17441
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64648
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12913
478.2 IPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5979
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6039
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6060
104.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9020
155.4 IPS |
