Gigabyte Technology Co., Ltd. H610M S2H DDR4
Geekbench AI Score
30018
Single Precision Score
43723
Half Precision Score
23125
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 02:20 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% |
11627
2.16 KIPS |
|
|
Image Classification (HP)
|
99% |
16269
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
10082
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21372
346.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27570
446.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19010
309.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
186389
217.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
449967
525.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
167588
196.4 IPS |
|
|
Object Detection (SP)
|
100% |
14352
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
20494
1.63 KIPS |
|
|
Object Detection (Q)
|
85% |
12124
975.3 IPS |
|
|
Face Detection (SP)
|
100% |
42170
501.1 IPS |
|
|
Face Detection (HP)
|
100% |
54441
646.9 IPS |
|
|
Face Detection (Q)
|
97% |
36177
431.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
76949
592.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
122877
949.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
58977
471.5 IPS |
|
|
Style Transfer (SP)
|
100% |
335741
431.6 IPS |
|
|
Style Transfer (HP)
|
100% |
746322
959.4 IPS |
|
|
Style Transfer (Q)
|
98% |
299114
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45971
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58208
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33654
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2003
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5363
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2611
49.0 IPS |
