Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
5734
Single Precision Score
8056
Half Precision Score
3872
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | November 14 2024 10:09 AM |
| Views | 5 |
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 | Bitsum Highest 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% |
3554
661.0 IPS |
|
|
Image Classification (HP)
|
100% |
4468
831.0 IPS |
|
|
Image Classification (Q)
|
100% |
2602
483.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7293
118.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2242
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14675
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24811
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12540
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
3867
306.8 IPS |
|
|
Object Detection (HP)
|
99% |
4899
389.7 IPS |
|
|
Object Detection (Q)
|
89% |
2569
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
6267
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
7640
90.8 IPS |
|
|
Face Detection (Q)
|
97% |
4038
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11934
91.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
20376
157.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
8598
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38680
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58868
75.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29924
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11018
406.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4774
176.8 IPS |
|
|
Text Classification (SP)
|
86% |
1136
1.54 KIPS |
|
|
Text Classification (HP)
|
99% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
83% |
765
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2776
47.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1064
23.7 IPS |
