LENOVO 30FR001QIX
Geekbench AI Score
17624
Single Precision Score
29472
Half Precision Score
14094
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
7281
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
12337
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
6544
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11412
185.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15613
253.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10693
173.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
87358
101.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
245722
286.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
77650
91.0 IPS |
|
|
Object Detection (SP)
|
100% |
8513
675.3 IPS |
|
|
Object Detection (HP)
|
100% |
14669
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
7672
618.8 IPS |
|
|
Face Detection (SP)
|
100% |
20451
243.0 IPS |
|
|
Face Detection (HP)
|
100% |
32103
381.4 IPS |
|
|
Face Detection (Q)
|
97% |
18712
223.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43472
334.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85761
660.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35602
284.8 IPS |
|
|
Style Transfer (SP)
|
100% |
140792
181.0 IPS |
|
|
Style Transfer (HP)
|
100% |
348301
447.7 IPS |
|
|
Style Transfer (Q)
|
98% |
126053
162.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30093
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48225
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22849
846.1 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2104
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3836
66.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1839
34.5 IPS |
