LENOVO 90X00098MZ
Geekbench AI Score
21027
Single Precision Score
35341
Half Precision Score
16172
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 05:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| 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% |
9197
1.71 KIPS |
|
|
Image Classification (HP)
|
99% |
14674
2.74 KIPS |
|
|
Image Classification (Q)
|
99% |
8075
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14581
236.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19823
321.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13314
216.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
110054
128.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
329238
384.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
96917
113.6 IPS |
|
|
Object Detection (SP)
|
100% |
10292
816.4 IPS |
|
|
Object Detection (HP)
|
100% |
17850
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
8925
718.5 IPS |
|
|
Face Detection (SP)
|
100% |
25280
300.4 IPS |
|
|
Face Detection (HP)
|
100% |
39895
474.0 IPS |
|
|
Face Detection (Q)
|
97% |
21828
260.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45945
354.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92524
712.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
37017
296.4 IPS |
|
|
Style Transfer (SP)
|
100% |
193638
248.9 IPS |
|
|
Style Transfer (HP)
|
100% |
473656
608.9 IPS |
|
|
Style Transfer (Q)
|
98% |
173204
223.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33881
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52879
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24476
906.3 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2047
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4259
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4574
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1877
35.2 IPS |
