Gigabyte Technology Co., Ltd. H110M-DS2
Geekbench AI Score
8831
Single Precision Score
10683
Half Precision Score
6894
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 04:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6500 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H110M-DS2 |
| Motherboard | Gigabyte Technology Co., Ltd. H110M-DS2-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3373
627.2 IPS |
|
|
Image Classification (HP)
|
100% |
4207
782.4 IPS |
|
|
Image Classification (Q)
|
100% |
2912
541.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4995
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4056
65.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4387
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
48728
56.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
83972
98.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
40163
47.1 IPS |
|
|
Object Detection (SP)
|
100% |
3473
275.5 IPS |
|
|
Object Detection (HP)
|
100% |
4148
329.0 IPS |
|
|
Object Detection (Q)
|
87% |
3155
253.4 IPS |
|
|
Face Detection (SP)
|
100% |
9090
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
11921
141.6 IPS |
|
|
Face Detection (Q)
|
97% |
7689
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22733
175.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29791
230.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
17889
143.7 IPS |
|
|
Style Transfer (SP)
|
100% |
92490
118.9 IPS |
|
|
Style Transfer (HP)
|
100% |
117645
151.2 IPS |
|
|
Style Transfer (Q)
|
98% |
72981
94.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15895
586.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19235
710.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10720
397.0 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2266
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1789
30.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1147
21.5 IPS |
