BANGHO BES PRO X4s U7
Geekbench AI Score
4848
Single Precision Score
9178
Half Precision Score
3163
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 05:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
1880
349.7 IPS |
|
|
Image Classification (HP)
|
100% |
3911
727.2 IPS |
|
|
Image Classification (Q)
|
100% |
1524
283.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4429
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7833
127.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3115
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13628
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59989
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10870
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
3261
258.6 IPS |
|
|
Object Detection (HP)
|
100% |
4789
379.8 IPS |
|
|
Object Detection (Q)
|
88% |
2533
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
6743
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
10881
129.3 IPS |
|
|
Face Detection (Q)
|
97% |
4340
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11963
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24606
189.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7752
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31434
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
101541
130.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22667
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5172
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9585
353.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2967
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
416
557.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (Q)
|
70% |
817
15.3 IPS |
