LENOVO 30CY003XMZ
Geekbench AI Score
2757
Single Precision Score
2816
Half Precision Score
2022
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oiskin |
| Upload Date | October 13 2025 02:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30CY003XMZ |
| Motherboard | LENOVO 314F |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (HP)
|
100% |
1150
213.9 IPS |
|
|
Image Classification (Q)
|
99% |
534
99.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1442
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15100
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8987
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12419
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (HP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (Q)
|
83% |
745
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
1474
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5134
39.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
4439
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26394
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16321
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20838
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
477
638.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1808
31.3 IPS |
|
|
Machine Translation (Q)
|
70% |
730
13.7 IPS |
