Gigabyte Technology Co., Ltd. Z490 VISION G
Geekbench AI Score
15562
Single Precision Score
22936
Half Precision Score
11162
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jcpenni |
| Upload Date | October 25 2025 05:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 VISION G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7002
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
8568
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
6009
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9326
151.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10662
172.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7805
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
50304
58.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
200846
234.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
42959
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
9275
735.7 IPS |
|
|
Object Detection (HP)
|
100% |
10844
860.2 IPS |
|
|
Object Detection (Q)
|
87% |
7538
605.0 IPS |
|
|
Face Detection (SP)
|
100% |
19944
237.0 IPS |
|
|
Face Detection (HP)
|
100% |
23869
283.6 IPS |
|
|
Face Detection (Q)
|
97% |
15349
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
55857
430.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81226
625.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
33383
267.6 IPS |
|
|
Style Transfer (SP)
|
100% |
178974
230.1 IPS |
|
|
Style Transfer (HP)
|
100% |
430225
553.1 IPS |
|
|
Style Transfer (Q)
|
98% |
122572
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26291
970.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41561
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14590
540.3 IPS |
|
|
Text Classification (SP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1354
25.4 IPS |
