LENOVO 90YJ005AMW
Geekbench AI Score
29679
Single Precision Score
52359
Half Precision Score
23021
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | todeveni |
| Upload Date | October 17 2025 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
11499
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
19326
3.59 KIPS |
|
|
Image Classification (Q)
|
100% |
10421
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21974
356.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
33243
538.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20107
327.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
170500
198.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
506468
591.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
146005
171.0 IPS |
|
|
Object Detection (SP)
|
100% |
16087
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
27084
2.15 KIPS |
|
|
Object Detection (Q)
|
83% |
13699
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
43278
514.2 IPS |
|
|
Face Detection (HP)
|
100% |
65990
784.1 IPS |
|
|
Face Detection (Q)
|
97% |
36324
433.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
71065
547.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
139164
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55811
445.5 IPS |
|
|
Style Transfer (SP)
|
100% |
237509
305.3 IPS |
|
|
Style Transfer (HP)
|
100% |
814358
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
203531
262.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42891
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79393
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34306
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3772
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4504
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6475
111.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6571
113.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2983
55.9 IPS |
