LENOVO 90YJCTO1WW
Geekbench AI Score
7459
Single Precision Score
7502
Half Precision Score
20469
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cz1982 |
| Upload Date | November 30 2025 12:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90YJCTO1WW |
| Motherboard | LENOVO 3787 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4966
923.5 IPS |
|
|
Image Classification (HP)
|
100% |
4941
918.8 IPS |
|
|
Image Classification (Q)
|
100% |
13227
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5283
85.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5296
85.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14507
235.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8798
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8772
10.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
34924
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4373
346.9 IPS |
|
|
Object Detection (HP)
|
100% |
4412
350.0 IPS |
|
|
Object Detection (Q)
|
88% |
13490
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
10720
127.4 IPS |
|
|
Face Detection (HP)
|
100% |
10655
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
34152
405.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10863
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10970
84.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35406
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24371
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24539
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
92077
118.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18389
681.0 IPS |
|
|
Text Classification (SP)
|
100% |
4559
6.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4604
6.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6712
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
7370
126.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7489
129.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10396
179.1 IPS |
