LENOVO 90S1000RUS
Geekbench AI Score
19622
Single Precision Score
32395
Half Precision Score
12447
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:17 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% |
7531
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
10981
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
5358
996.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
13429
217.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21361
346.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10251
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
106066
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
306312
357.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
85001
99.6 IPS |
|
|
Object Detection (SP)
|
100% |
10165
806.3 IPS |
|
|
Object Detection (HP)
|
100% |
16094
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
7373
593.6 IPS |
|
|
Face Detection (SP)
|
100% |
22326
265.3 IPS |
|
|
Face Detection (HP)
|
100% |
37547
446.1 IPS |
|
|
Face Detection (Q)
|
97% |
17279
206.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
47319
364.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85740
660.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30585
245.0 IPS |
|
|
Style Transfer (SP)
|
100% |
178724
229.8 IPS |
|
|
Style Transfer (HP)
|
100% |
457020
587.5 IPS |
|
|
Style Transfer (Q)
|
98% |
138453
178.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31706
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43820
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17932
664.0 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1322
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4316
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1495
28.0 IPS |
