LENOVO 21FV0029US
Geekbench AI Score
13500
Single Precision Score
24499
Half Precision Score
10242
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | escardel |
| Upload Date | January 06 2026 12:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FV0029US |
| Motherboard | LENOVO 21FV0029US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5300
985.7 IPS |
|
|
Image Classification (HP)
|
99% |
9515
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
4918
917.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10327
167.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15630
253.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9281
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
62881
73.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
170316
198.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
45662
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6418
509.1 IPS |
|
|
Object Detection (HP)
|
100% |
13465
1.07 KIPS |
|
|
Object Detection (Q)
|
84% |
5923
477.7 IPS |
|
|
Face Detection (SP)
|
100% |
16193
192.4 IPS |
|
|
Face Detection (HP)
|
100% |
29454
350.0 IPS |
|
|
Face Detection (Q)
|
97% |
14240
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29092
224.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
65036
501.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23875
191.0 IPS |
|
|
Style Transfer (SP)
|
100% |
96256
123.7 IPS |
|
|
Style Transfer (HP)
|
100% |
281572
362.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92504
119.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20868
770.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35943
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15794
584.8 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3233
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1482
27.8 IPS |
