LENOVO 90S1000RUS
Geekbench AI Score
18800
Single Precision Score
29745
Half Precision Score
12213
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | March 07 2025 07:33 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 |
| 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% |
7522
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
11039
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
5435
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11716
189.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16509
267.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9179
149.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
104034
121.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
288666
336.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
84155
98.6 IPS |
|
|
Object Detection (SP)
|
100% |
9883
783.9 IPS |
|
|
Object Detection (HP)
|
100% |
14910
1.18 KIPS |
|
|
Object Detection (Q)
|
85% |
7261
584.5 IPS |
|
|
Face Detection (SP)
|
100% |
22032
261.8 IPS |
|
|
Face Detection (HP)
|
100% |
32979
391.9 IPS |
|
|
Face Detection (Q)
|
97% |
16687
199.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
48932
377.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85820
661.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
31498
252.3 IPS |
|
|
Style Transfer (SP)
|
100% |
177202
227.8 IPS |
|
|
Style Transfer (HP)
|
100% |
432813
556.4 IPS |
|
|
Style Transfer (Q)
|
98% |
136628
176.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30576
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41377
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17877
661.9 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
3757
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1327
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3631
62.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1422
26.7 IPS |
