LENOVO 90YJCTO1WW
Geekbench AI Score
33642
Single Precision Score
57695
Half Precision Score
25634
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cz1982 |
| Upload Date | November 30 2025 12:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
13732
2.55 KIPS |
|
|
Image Classification (HP)
|
100% |
20446
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12217
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24720
400.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
35812
580.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22278
362.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
177041
206.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
708252
826.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
160578
188.1 IPS |
|
|
Object Detection (SP)
|
100% |
17541
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
28350
2.25 KIPS |
|
|
Object Detection (Q)
|
86% |
14562
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
52023
618.1 IPS |
|
|
Face Detection (HP)
|
100% |
75087
892.2 IPS |
|
|
Face Detection (Q)
|
97% |
42608
508.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
86493
666.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
152138
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64962
518.7 IPS |
|
|
Style Transfer (SP)
|
100% |
322970
415.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1020650
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
267872
345.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47912
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77610
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37101
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4526
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2331
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6820
117.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6788
116.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3002
56.3 IPS |
