LENOVO 90UT001NUS
Geekbench AI Score
27412
Single Precision Score
40570
Half Precision Score
21127
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | amcarrin |
| Upload Date | December 15 2024 12:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90UT001NUS |
| Motherboard | LENOVO 3769 |
| Power Plan | Lenovo Default |
| 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% |
11797
2.19 KIPS |
|
|
Image Classification (HP)
|
99% |
16612
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
10278
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16549
268.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20462
331.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15333
249.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
169562
197.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
388961
453.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
157661
184.7 IPS |
|
|
Object Detection (SP)
|
100% |
13776
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
20005
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
11784
948.0 IPS |
|
|
Face Detection (SP)
|
100% |
35614
423.2 IPS |
|
|
Face Detection (HP)
|
100% |
46188
548.8 IPS |
|
|
Face Detection (Q)
|
97% |
31125
371.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68375
526.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
120540
931.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
49369
394.7 IPS |
|
|
Style Transfer (SP)
|
100% |
300304
386.0 IPS |
|
|
Style Transfer (HP)
|
100% |
745242
958.0 IPS |
|
|
Style Transfer (Q)
|
98% |
256467
330.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46490
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58187
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33642
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4317
5.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2044
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2233
41.9 IPS |
