LENOVO 90K8000NJP
Geekbench AI Score
2198
Single Precision Score
1127
Half Precision Score
3611
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 04:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90K8000NJP |
| Motherboard | LENOVO 3140 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.5 IPS |
|
|
Image Classification (Q)
|
96% |
3058
571.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
3814
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4145
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
7874
9.31 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (Q)
|
58% |
2102
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
4596
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4851
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1525
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6731
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9723
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8504
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
9281
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1823
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3256
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
1472
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1146
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1824
35.2 IPS |
