BANGHO BES PRO X4s U7
Geekbench AI Score
1684
Single Precision Score
890
Half Precision Score
3426
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 05:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BANGHO BES PRO X4s U7 |
| Motherboard | BANGHO BES PRO X4s U7 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.9 IPS |
|
|
Image Classification (Q)
|
99% |
2936
547.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1645
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2117
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1820
2.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
8102
9.50 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
86% |
2958
237.7 IPS |
|
|
Face Detection (SP)
|
100% |
3381
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
4250
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2928
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1336
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7017
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5606
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4556
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12293
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2190
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
513
684.2 IPS |
|
|
Text Classification (Q)
|
97% |
1152
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (Q)
|
65% |
2087
41.9 IPS |
