LENOVO 90UT001UUS
Geekbench AI Score
29019
Single Precision Score
44850
Half Precision Score
21999
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 03:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90UT001UUS |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11443
2.13 KIPS |
|
|
Image Classification (HP)
|
99% |
16712
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
10007
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21045
341.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26905
436.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17561
285.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
160627
187.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
435529
508.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
147379
172.7 IPS |
|
|
Object Detection (SP)
|
100% |
13845
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
21807
1.73 KIPS |
|
|
Object Detection (Q)
|
85% |
12040
969.2 IPS |
|
|
Face Detection (SP)
|
100% |
40799
484.8 IPS |
|
|
Face Detection (HP)
|
100% |
56620
672.8 IPS |
|
|
Face Detection (Q)
|
97% |
34592
412.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
68543
528.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
122812
948.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
52477
419.5 IPS |
|
|
Style Transfer (SP)
|
100% |
295102
379.4 IPS |
|
|
Style Transfer (HP)
|
100% |
719411
924.8 IPS |
|
|
Style Transfer (Q)
|
98% |
249329
321.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48708
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63755
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34385
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4302
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2202
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5561
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5621
96.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2485
46.6 IPS |
