LENOVO 90X00098MZ
Geekbench AI Score
5154
Single Precision Score
5100
Half Precision Score
10810
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 05:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
3300
613.7 IPS |
|
|
Image Classification (HP)
|
100% |
3207
596.5 IPS |
|
|
Image Classification (Q)
|
100% |
6795
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4334
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3063
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5628
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6492
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
17237
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.4 IPS |
|
|
Object Detection (HP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (Q)
|
88% |
7201
577.3 IPS |
|
|
Face Detection (SP)
|
100% |
9810
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
9815
116.6 IPS |
|
|
Face Detection (Q)
|
100% |
17425
207.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8151
62.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19755
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19137
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16028
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
60374
77.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12248
453.6 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (Q)
|
92% |
4400
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4441
76.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4100
70.6 IPS |
