LENOVO 30FR001QIX
Geekbench AI Score
2556
Single Precision Score
3952
Half Precision Score
6185
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30FR001QIX |
| Motherboard | LENOVO 1064 |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.2 IPS |
|
|
Image Classification (Q)
|
99% |
4126
769.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3802
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4464
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4332
5.05 IPS |
|
|
Pose Estimation (HP)
|
99% |
3177
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
13034
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
98% |
2300
183.1 IPS |
|
|
Object Detection (Q)
|
90% |
4340
347.0 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7448
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
9971
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4941
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8260
63.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11308
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11204
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17484
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29742
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3307
122.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6762
250.4 IPS |
|
|
Text Classification (SP)
|
71% |
1209
1.75 KIPS |
|
|
Text Classification (HP)
|
71% |
1497
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1448
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2397
41.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2395
41.3 IPS |
