Gigabyte Technology Co., Ltd. B860 DS3H WIFI6E
Geekbench AI Score
5012
Single Precision Score
10879
Half Precision Score
16871
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:54 AM |
| Views | 1 |
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. B860 DS3H WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860 DS3H WIFI6E |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3052
567.5 IPS |
|
|
Image Classification (HP)
|
100% |
7850
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
10893
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3877
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3694
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5573
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
36299
42.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
77794
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
2853
226.3 IPS |
|
|
Object Detection (HP)
|
100% |
6506
516.0 IPS |
|
|
Object Detection (Q)
|
88% |
11061
886.7 IPS |
|
|
Face Detection (SP)
|
100% |
8884
105.6 IPS |
|
|
Face Detection (HP)
|
100% |
18916
224.8 IPS |
|
|
Face Detection (Q)
|
100% |
35375
420.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7323
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19910
153.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
36493
284.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16528
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
57216
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
105073
135.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16638
614.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33044
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2352
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5118
88.2 IPS |
