Gigabyte Technology Co., Ltd. H610I
Geekbench AI Score
13281
Single Precision Score
25629
Half Precision Score
8919
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | escardel |
| Upload Date | January 06 2026 01:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610I |
| Motherboard | Gigabyte Technology Co., Ltd. H610I |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5694
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
10933
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
4263
795.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9256
150.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15423
250.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7567
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
51020
59.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
172001
200.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
42654
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
6438
510.6 IPS |
|
|
Object Detection (HP)
|
100% |
14587
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
5252
423.6 IPS |
|
|
Face Detection (SP)
|
100% |
15793
187.7 IPS |
|
|
Face Detection (HP)
|
100% |
28085
333.7 IPS |
|
|
Face Detection (Q)
|
97% |
12545
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30233
232.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
67954
525.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
22175
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
93955
120.8 IPS |
|
|
Style Transfer (HP)
|
100% |
275952
354.7 IPS |
|
|
Style Transfer (Q)
|
98% |
74458
96.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19945
736.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36820
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12106
448.3 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3629
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1356
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4108
70.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1297
24.3 IPS |
