Gigabyte Technology Co., Ltd. H610M S2H DDR4
Geekbench AI Score
29908
Single Precision Score
42918
Half Precision Score
22932
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 02:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M S2H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M S2H DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11591
2.16 KIPS |
|
|
Image Classification (HP)
|
99% |
16215
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
10187
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19695
319.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23504
381.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17207
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
189363
221.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
451275
526.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
169145
198.2 IPS |
|
|
Object Detection (SP)
|
100% |
14220
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
20064
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
12041
968.6 IPS |
|
|
Face Detection (SP)
|
100% |
41707
495.6 IPS |
|
|
Face Detection (HP)
|
100% |
53048
630.3 IPS |
|
|
Face Detection (Q)
|
97% |
36084
430.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
78280
603.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
123960
957.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
59525
475.9 IPS |
|
|
Style Transfer (SP)
|
100% |
333140
428.3 IPS |
|
|
Style Transfer (HP)
|
100% |
756792
972.9 IPS |
|
|
Style Transfer (Q)
|
98% |
296189
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47077
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56908
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33059
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2021
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5504
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5421
93.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2651
49.7 IPS |
