Gigabyte Technology Co., Ltd. B860 DS3H WIFI6E
Geekbench AI Score
4922
Single Precision Score
8161
Half Precision Score
11994
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3471
645.5 IPS |
|
|
Image Classification (HP)
|
100% |
5376
999.9 IPS |
|
|
Image Classification (Q)
|
100% |
7361
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3835
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7749
125.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9418
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9179
10.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
8936
10.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
28597
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3139
249.0 IPS |
|
|
Object Detection (HP)
|
99% |
4906
389.1 IPS |
|
|
Object Detection (Q)
|
88% |
8111
650.0 IPS |
|
|
Face Detection (SP)
|
100% |
7548
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
15133
179.8 IPS |
|
|
Face Detection (Q)
|
100% |
21950
260.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10556
81.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
19023
147.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
22345
173.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23350
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37260
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
68940
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4302
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8033
296.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12932
478.9 IPS |
|
|
Text Classification (SP)
|
71% |
1627
2.35 KIPS |
|
|
Text Classification (HP)
|
71% |
2346
3.39 KIPS |
|
|
Text Classification (Q)
|
92% |
2510
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3551
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3493
60.4 IPS |
