LENOVO 30FNS6NW05
Geekbench AI Score
5704
Single Precision Score
4543
Half Precision Score
4179
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sunjw8888 |
| Upload Date | August 16 2024 02:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA T1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30FNS6NW05 |
| Motherboard | LENOVO 1057 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2583
480.4 IPS |
|
|
Image Classification (HP)
|
100% |
2697
501.6 IPS |
|
|
Image Classification (Q)
|
100% |
2091
388.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3458
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3584
58.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3017
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22375
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13539
15.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
19478
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2826
224.2 IPS |
|
|
Object Detection (HP)
|
100% |
3010
238.7 IPS |
|
|
Object Detection (Q)
|
89% |
2456
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
5917
70.3 IPS |
|
|
Face Detection (Q)
|
97% |
4788
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12097
93.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11429
88.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
9233
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39532
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26393
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34280
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8724
322.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6445
238.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5699
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
365
486.8 IPS |
|
|
Text Classification (Q)
|
97% |
717
959.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2269
39.2 IPS |
|
|
Machine Translation (Q)
|
60% |
871
19.4 IPS |
