Gigabyte Technology Co., Ltd. W880 AI TOP
Geekbench AI Score
6703
Single Precision Score
9840
Half Precision Score
15159
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | aaronp |
| Upload Date | August 14 2025 08:51 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. W880 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. W880 AI TOP |
| 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% |
4037
750.8 IPS |
|
|
Image Classification (HP)
|
100% |
6951
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9782
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5629
91.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7883
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
34542
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74876
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
3718
294.9 IPS |
|
|
Object Detection (HP)
|
100% |
6110
484.6 IPS |
|
|
Object Detection (Q)
|
87% |
9866
791.8 IPS |
|
|
Face Detection (SP)
|
100% |
12284
146.0 IPS |
|
|
Face Detection (HP)
|
100% |
17189
204.2 IPS |
|
|
Face Detection (Q)
|
100% |
32562
386.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9444
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17961
138.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
33847
263.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23824
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50158
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93756
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13915
513.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23138
856.9 IPS |
|
|
Text Classification (SP)
|
100% |
3763
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2113
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5275
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4447
76.6 IPS |
