Gigabyte Technology Co., Ltd. B860M DS3H WIFI6E
Geekbench AI Score
15501
Single Precision Score
27554
Half Precision Score
12117
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 21 2025 09:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M DS3H WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M DS3H WIFI6E |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6382
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
12050
2.25 KIPS |
|
|
Image Classification (Q)
|
99% |
5680
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11282
182.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16489
267.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10362
168.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
64349
75.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
210222
245.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
56937
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
7656
607.3 IPS |
|
|
Object Detection (HP)
|
100% |
14064
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
6909
557.2 IPS |
|
|
Face Detection (SP)
|
100% |
18136
215.5 IPS |
|
|
Face Detection (HP)
|
100% |
32453
385.6 IPS |
|
|
Face Detection (Q)
|
97% |
16482
196.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
36085
278.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
68993
531.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29700
237.6 IPS |
|
|
Style Transfer (SP)
|
100% |
116441
149.7 IPS |
|
|
Style Transfer (HP)
|
100% |
289038
371.6 IPS |
|
|
Style Transfer (Q)
|
98% |
101164
130.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23907
882.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42359
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17694
655.2 IPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3624
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1880
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4003
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4324
74.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1790
33.6 IPS |
