BANGHO BES PRO X4s
Geekbench AI Score
2554
Single Precision Score
1305
Half Precision Score
4953
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 20 2025 06:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | BANGHO BES PRO X4s |
| Motherboard | BANGHO BES PRO X4s |
| 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% |
1836
341.5 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (Q)
|
99% |
4188
781.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2413
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2524
2.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
11888
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
86% |
4164
334.7 IPS |
|
|
Face Detection (SP)
|
100% |
5225
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
1727
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
6721
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4642
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1906
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9855
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7932
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6508
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
16812
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3671
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
722
963.7 IPS |
|
|
Text Classification (Q)
|
97% |
1660
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2619
52.6 IPS |
