LENOVO 20Y300C9MX
Geekbench AI Score
1611
Single Precision Score
1668
Half Precision Score
1078
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | LENOVO 20Y300C9MX |
| Motherboard | LENOVO 20Y300C9MX |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.4 IPS |
|
|
Image Classification (Q)
|
100% |
562
104.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
722
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4834
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5308
6.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
3287
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
98% |
646
51.4 IPS |
|
|
Object Detection (Q)
|
86% |
638
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1134
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2845
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3090
23.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2104
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9943
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13265
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7411
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.5 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.0 IPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
70% |
419
7.86 IPS |
