New Laptop-LENOVO 21FV002EUS LENOVO 21FV002EUS
Geekbench AI Score
16866
Single Precision Score
25886
Half Precision Score
13682
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | chrismoses |
| Upload Date | June 12 2025 05:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | LENOVO 21FV002EUS |
| Motherboard | LENOVO 21FV002EUS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4729
879.4 IPS |
|
|
Image Classification (HP)
|
99% |
8920
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
6740
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11259
182.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13439
217.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10274
167.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
108095
126.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
294348
343.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
100603
117.9 IPS |
|
|
Object Detection (SP)
|
100% |
9049
717.7 IPS |
|
|
Object Detection (HP)
|
100% |
13348
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
7751
624.0 IPS |
|
|
Face Detection (SP)
|
100% |
24068
286.0 IPS |
|
|
Face Detection (HP)
|
100% |
30488
362.3 IPS |
|
|
Face Detection (Q)
|
97% |
19773
235.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
47990
369.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81325
628.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
32029
256.1 IPS |
|
|
Style Transfer (SP)
|
100% |
194230
249.7 IPS |
|
|
Style Transfer (HP)
|
100% |
425791
547.4 IPS |
|
|
Style Transfer (Q)
|
98% |
155321
200.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25739
950.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31664
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21073
780.3 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3448
4.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1377
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1492
28.0 IPS |
