EWIS_Colombo_Ltd. EWISProWS11800
Geekbench AI Score
6467
Single Precision Score
10312
Half Precision Score
15783
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EWIS_Colombo_Ltd. EWISProWS11800 |
| Motherboard | EWIS_Colombo_Ltd. W880M-MB131 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4095
761.5 IPS |
|
|
Image Classification (HP)
|
100% |
7027
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9893
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5708
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2957
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3965
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7940
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
34664
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75433
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
3890
308.5 IPS |
|
|
Object Detection (HP)
|
100% |
6126
485.9 IPS |
|
|
Object Detection (Q)
|
87% |
10098
810.5 IPS |
|
|
Face Detection (SP)
|
100% |
13421
159.5 IPS |
|
|
Face Detection (HP)
|
100% |
17942
213.2 IPS |
|
|
Face Detection (Q)
|
100% |
33151
393.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10394
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19783
152.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
36049
280.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24200
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54912
70.6 IPS |
|
|
Style Transfer (Q)
|
98% |
100481
129.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2623
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14854
548.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25020
926.6 IPS |
|
|
Text Classification (SP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2322
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4572
78.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4602
79.3 IPS |
