LENOVO 21FV002FUS
Geekbench AI Score
5077
Single Precision Score
6777
Half Precision Score
10326
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 01:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FV002FUS |
| Motherboard | LENOVO 21FV002FUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3348
622.7 IPS |
|
|
Image Classification (HP)
|
100% |
4771
887.3 IPS |
|
|
Image Classification (Q)
|
99% |
6340
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4818
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7630
123.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9259
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10545
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7855
9.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
31290
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
2989
237.1 IPS |
|
|
Object Detection (HP)
|
100% |
4456
353.4 IPS |
|
|
Object Detection (Q)
|
90% |
7102
567.9 IPS |
|
|
Face Detection (SP)
|
100% |
8677
103.1 IPS |
|
|
Face Detection (HP)
|
100% |
12322
146.4 IPS |
|
|
Face Detection (Q)
|
100% |
17734
210.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10831
83.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
16474
127.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
21594
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27138
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37042
47.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70937
91.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13019
482.1 IPS |
|
|
Text Classification (SP)
|
71% |
1263
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1454
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
1422
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2099
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2102
36.2 IPS |
