LENOVO 90S1000RUS
Geekbench AI Score
5407
Single Precision Score
6084
Half Precision Score
12812
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | March 07 2025 07:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| 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% |
3584
666.5 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.8 IPS |
|
|
Image Classification (Q)
|
100% |
7911
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4520
73.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5048
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7439
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7301
8.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
28833
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
3473
275.5 IPS |
|
|
Object Detection (Q)
|
88% |
8588
688.5 IPS |
|
|
Face Detection (SP)
|
100% |
9245
109.9 IPS |
|
|
Face Detection (HP)
|
100% |
9898
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
20676
245.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9654
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9515
73.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
23448
182.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22903
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23271
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
79390
102.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14530
538.1 IPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (Q)
|
92% |
5212
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4137
71.3 IPS |
