LENOVO 90VT0065US
Geekbench AI Score
2391
Single Precision Score
1176
Half Precision Score
3457
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bora4 |
| Upload Date | November 29 2024 01:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90VT0065US |
| Motherboard | LENOVO 333B |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
99% |
3038
566.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2550
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5131
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3560
4.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
16428
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
88% |
1714
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
2549
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5125
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1628
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4619
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10943
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8798
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10060
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3278
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
588
784.6 IPS |
|
|
Text Classification (Q)
|
97% |
1523
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1892
42.2 IPS |
