LENOVO 90SV006NMZ
Geekbench AI Score
17089
Single Precision Score
27164
Half Precision Score
10900
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90SV006NMZ |
| Motherboard | LENOVO 3753 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6363
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10076
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
4722
878.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11099
179.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15950
258.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8892
144.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
101298
118.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
277408
323.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
81671
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
8752
694.2 IPS |
|
|
Object Detection (HP)
|
100% |
12693
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
6069
486.7 IPS |
|
|
Face Detection (SP)
|
100% |
18710
222.3 IPS |
|
|
Face Detection (HP)
|
100% |
28749
341.6 IPS |
|
|
Face Detection (Q)
|
97% |
13449
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42112
324.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75990
585.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
26493
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
169434
217.8 IPS |
|
|
Style Transfer (HP)
|
100% |
414380
532.7 IPS |
|
|
Style Transfer (Q)
|
98% |
133887
172.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28675
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37152
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16547
612.7 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
3585
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1273
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1133
25.3 IPS |
