Notebook X58xWNx
Geekbench AI Score
6500
Single Precision Score
15760
Half Precision Score
3612
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 05:26 AM |
| Views | 201 |
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% |
3427
637.4 IPS |
|
|
Image Classification (HP)
|
100% |
5477
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
2123
394.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12563
203.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
48939
57.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
331574
386.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
41413
48.5 IPS |
|
|
Object Detection (SP)
|
100% |
3756
297.9 IPS |
|
|
Object Detection (HP)
|
98% |
5586
444.5 IPS |
|
|
Object Detection (Q)
|
85% |
2090
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
16167
192.1 IPS |
|
|
Face Detection (HP)
|
100% |
25629
304.5 IPS |
|
|
Face Detection (Q)
|
97% |
9676
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24644
189.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42431
326.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12734
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31087
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
516609
664.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29075
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17597
649.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15955
589.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6686
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
262
351.0 IPS |
|
|
Machine Translation (SP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
70% |
250
4.68 IPS |
