LENOVO 90S1000RUS
Geekbench AI Score
18696
Single Precision Score
29840
Half Precision Score
12246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | March 07 2025 07:31 PM |
| Views | 5 |
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% |
7048
1.31 KIPS |
|
|
Image Classification (HP)
|
99% |
10979
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
5487
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11677
189.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16546
268.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9157
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
103124
120.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
294568
343.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
83791
98.2 IPS |
|
|
Object Detection (SP)
|
100% |
9875
783.3 IPS |
|
|
Object Detection (HP)
|
100% |
14879
1.18 KIPS |
|
|
Object Detection (Q)
|
85% |
7194
579.1 IPS |
|
|
Face Detection (SP)
|
100% |
21768
258.6 IPS |
|
|
Face Detection (HP)
|
100% |
32654
388.0 IPS |
|
|
Face Detection (Q)
|
97% |
16603
198.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
48716
375.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
84235
649.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
31472
252.1 IPS |
|
|
Style Transfer (SP)
|
100% |
176586
227.0 IPS |
|
|
Style Transfer (HP)
|
100% |
433749
557.6 IPS |
|
|
Style Transfer (Q)
|
98% |
137593
177.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31011
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41316
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17732
656.6 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1383
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3661
63.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1421
26.6 IPS |
