LENOVO 30GA0010US
Geekbench AI Score
20970
Single Precision Score
33300
Half Precision Score
13245
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | August 13 2025 07:15 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 30GA0010US |
| Motherboard | Default string 1055 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon w7-2495X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8719
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
12811
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
5926
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15972
258.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23887
387.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11670
189.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
108730
126.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
306078
357.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
86855
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
10394
824.5 IPS |
|
|
Object Detection (HP)
|
100% |
15806
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
7427
597.9 IPS |
|
|
Face Detection (SP)
|
100% |
27211
323.3 IPS |
|
|
Face Detection (HP)
|
100% |
41092
488.3 IPS |
|
|
Face Detection (Q)
|
97% |
19723
235.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
52421
403.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95267
734.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33059
264.7 IPS |
|
|
Style Transfer (SP)
|
100% |
203144
261.1 IPS |
|
|
Style Transfer (HP)
|
100% |
479711
616.7 IPS |
|
|
Style Transfer (Q)
|
98% |
150021
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31300
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41469
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18401
681.4 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3484
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1510
28.3 IPS |
