Gigabyte Technology Co., Ltd. Z490 VISION G
Geekbench AI Score
15531
Single Precision Score
24561
Half Precision Score
22288
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jcpenni |
| Upload Date | October 25 2025 05:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| 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% |
8242
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
9901
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
8942
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13421
217.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18809
304.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18988
307.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
78241
91.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
313082
365.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
541205
633.6 IPS |
|
|
Object Detection (SP)
|
100% |
7218
572.5 IPS |
|
|
Object Detection (HP)
|
100% |
11423
906.1 IPS |
|
|
Object Detection (Q)
|
88% |
4861
389.5 IPS |
|
|
Face Detection (SP)
|
100% |
18035
214.3 IPS |
|
|
Face Detection (HP)
|
100% |
33482
397.8 IPS |
|
|
Face Detection (Q)
|
100% |
34216
406.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55660
428.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
74114
571.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
73068
568.2 IPS |
|
|
Style Transfer (SP)
|
100% |
165215
212.4 IPS |
|
|
Style Transfer (HP)
|
100% |
488980
628.6 IPS |
|
|
Style Transfer (Q)
|
98% |
536143
691.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27891
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30250
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23624
874.9 IPS |
|
|
Text Classification (SP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
981
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2234
38.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2180
37.5 IPS |
