LENOVO 90S1000RUS
Geekbench AI Score
4723
Single Precision Score
1670
Half Precision Score
7474
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| 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% |
3861
718.1 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (Q)
|
99% |
6809
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3736
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8259
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4489
5.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
28663
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3539
280.7 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
86% |
6840
549.7 IPS |
|
|
Face Detection (SP)
|
100% |
9392
111.6 IPS |
|
|
Face Detection (HP)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
10928
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10282
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2350
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16825
134.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19205
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11156
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23265
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3093
114.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2138
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4499
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3430
68.9 IPS |
