LENOVO 90S1000RUS
Geekbench AI Score
19253
Single Precision Score
30570
Half Precision Score
12616
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | March 07 2025 07:45 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% |
7200
1.34 KIPS |
|
|
Image Classification (HP)
|
99% |
11159
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5476
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11752
190.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16882
273.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9399
152.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
110579
129.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
303410
354.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
89233
104.6 IPS |
|
|
Object Detection (SP)
|
100% |
10048
797.0 IPS |
|
|
Object Detection (HP)
|
100% |
15039
1.19 KIPS |
|
|
Object Detection (Q)
|
85% |
7457
600.3 IPS |
|
|
Face Detection (SP)
|
100% |
21971
261.1 IPS |
|
|
Face Detection (HP)
|
100% |
33212
394.6 IPS |
|
|
Face Detection (Q)
|
97% |
16734
199.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
50063
385.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88503
681.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
32534
260.6 IPS |
|
|
Style Transfer (SP)
|
100% |
190133
244.4 IPS |
|
|
Style Transfer (HP)
|
100% |
466257
599.4 IPS |
|
|
Style Transfer (Q)
|
98% |
145208
187.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32423
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43621
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18428
682.4 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3766
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1397
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1466
27.5 IPS |
