LENOVO 90X00098MZ
Geekbench AI Score
3839
Single Precision Score
1303
Half Precision Score
6510
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 05:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90X00098MZ |
| Motherboard | LENOVO 377E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.6 IPS |
|
|
Image Classification (Q)
|
99% |
5342
996.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3282
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7350
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3801
4.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
22416
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
2822
223.8 IPS |
|
|
Object Detection (HP)
|
100% |
588
46.7 IPS |
|
|
Object Detection (Q)
|
86% |
5667
455.4 IPS |
|
|
Face Detection (SP)
|
100% |
8087
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
9332
111.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1747
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14409
115.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16875
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9340
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24699
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4223
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
598
798.5 IPS |
|
|
Text Classification (Q)
|
97% |
1432
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3059
61.5 IPS |
