LENOVO 30GUSR3300
Geekbench AI Score
23340
Single Precision Score
36629
Half Precision Score
17357
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | July 02 2025 05:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30GUSR3300 |
| Motherboard | LENOVO 1064 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8970
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
14872
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
8025
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17803
288.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24235
392.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15778
256.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
121380
141.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
298622
348.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
106863
125.2 IPS |
|
|
Object Detection (SP)
|
100% |
11410
905.0 IPS |
|
|
Object Detection (HP)
|
100% |
19208
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
9766
786.2 IPS |
|
|
Face Detection (SP)
|
100% |
31440
373.6 IPS |
|
|
Face Detection (HP)
|
100% |
45566
541.4 IPS |
|
|
Face Detection (Q)
|
97% |
25528
304.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53306
410.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
91109
701.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
41657
332.6 IPS |
|
|
Style Transfer (SP)
|
100% |
202542
260.4 IPS |
|
|
Style Transfer (HP)
|
100% |
489072
628.7 IPS |
|
|
Style Transfer (Q)
|
98% |
181059
233.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39734
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50737
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28388
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4106
5.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4930
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4972
85.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1819
34.1 IPS |
