Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
4483
Single Precision Score
6703
Half Precision Score
2943
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | December 19 2024 10:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M GAMING X |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2845
529.0 IPS |
|
|
Image Classification (HP)
|
100% |
3946
733.8 IPS |
|
|
Image Classification (Q)
|
100% |
1874
348.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5370
87.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1571
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12709
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23222
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10436
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.6 IPS |
|
|
Object Detection (HP)
|
99% |
3518
279.8 IPS |
|
|
Object Detection (Q)
|
89% |
1938
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
5562
66.1 IPS |
|
|
Face Detection (Q)
|
97% |
2542
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9411
72.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
17325
133.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
6701
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34987
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54274
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24386
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10155
375.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
143.2 IPS |
|
|
Text Classification (SP)
|
86% |
984
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
83% |
664
904.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2151
37.0 IPS |
|
|
Machine Translation (Q)
|
60% |
769
17.2 IPS |
