EWIS_Colombo_Ltd. EWISProWS11800
Geekbench AI Score
6978
Single Precision Score
10294
Half Precision Score
15898
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 11:50 PM |
| Views | 4 |
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% |
4093
761.2 IPS |
|
|
Image Classification (HP)
|
100% |
7294
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10383
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5709
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8237
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
34633
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75188
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
4059
321.9 IPS |
|
|
Object Detection (HP)
|
100% |
6207
492.3 IPS |
|
|
Object Detection (Q)
|
87% |
10315
827.8 IPS |
|
|
Face Detection (SP)
|
100% |
13247
157.4 IPS |
|
|
Face Detection (HP)
|
100% |
17459
207.4 IPS |
|
|
Face Detection (Q)
|
100% |
33650
399.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10621
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19574
150.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
36198
281.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24129
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54429
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
100590
129.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14384
531.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24406
903.8 IPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5334
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4687
80.7 IPS |
