LENOVO 90S1000RUS
Geekbench AI Score
19726
Single Precision Score
32560
Half Precision Score
12529
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90S1000RUS |
| Motherboard | LENOVO 3750 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7503
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
11288
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
5599
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13607
220.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21641
350.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10457
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105981
123.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
307818
359.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
85483
100.2 IPS |
|
|
Object Detection (SP)
|
100% |
10485
831.7 IPS |
|
|
Object Detection (HP)
|
100% |
16286
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
7272
585.5 IPS |
|
|
Face Detection (SP)
|
100% |
22746
270.3 IPS |
|
|
Face Detection (HP)
|
100% |
37717
448.2 IPS |
|
|
Face Detection (Q)
|
97% |
17309
206.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
46954
361.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86369
665.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
31077
248.9 IPS |
|
|
Style Transfer (SP)
|
100% |
175236
225.3 IPS |
|
|
Style Transfer (HP)
|
100% |
443636
570.3 IPS |
|
|
Style Transfer (Q)
|
98% |
137765
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31295
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42782
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17752
657.3 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1333
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1494
28.0 IPS |
