Notebook X58xWNx
Geekbench AI Score
5020
Single Precision Score
12508
Half Precision Score
2797
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 05:18 AM |
| Views | 73 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Graphics Device |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Notebook X58xWNx |
| Motherboard | Notebook X58xWNx |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2506
466.0 IPS |
|
|
Image Classification (HP)
|
100% |
4250
790.4 IPS |
|
|
Image Classification (Q)
|
100% |
1741
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10586
171.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
979
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37358
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
258690
301.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31546
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2996
237.6 IPS |
|
|
Object Detection (HP)
|
98% |
4342
345.5 IPS |
|
|
Object Detection (Q)
|
85% |
1726
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
12480
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
20436
242.8 IPS |
|
|
Face Detection (Q)
|
97% |
7612
90.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18099
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33467
257.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
9662
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23112
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
376244
483.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21632
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13601
502.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13077
482.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5300
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.2 IPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
202
271.2 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
70% |
186
3.49 IPS |
