Gigabyte Technology Co., Ltd. H610M H DDR4
Geekbench AI Score
7292
Single Precision Score
5582
Half Precision Score
5238
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 02:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M H DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2862
532.2 IPS |
|
|
Image Classification (HP)
|
100% |
2708
503.7 IPS |
|
|
Image Classification (Q)
|
99% |
2454
457.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5173
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3974
64.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4258
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
26235
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16097
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
23626
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3678
291.7 IPS |
|
|
Object Detection (HP)
|
100% |
3355
266.1 IPS |
|
|
Object Detection (Q)
|
83% |
3104
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
8395
99.8 IPS |
|
|
Face Detection (HP)
|
100% |
6692
79.5 IPS |
|
|
Face Detection (Q)
|
97% |
6510
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16750
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11607
89.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12086
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
46013
59.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31043
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39807
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9762
360.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7547
278.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6541
242.2 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2778
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2846
49.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1084
20.3 IPS |
