Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
5792
Single Precision Score
8063
Half Precision Score
3918
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | November 03 2024 09:38 AM |
| Views | 6 |
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 | High 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% |
3659
680.5 IPS |
|
|
Image Classification (HP)
|
100% |
4494
835.8 IPS |
|
|
Image Classification (Q)
|
100% |
2537
471.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7328
118.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2306
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14746
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24671
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12689
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
3727
295.6 IPS |
|
|
Object Detection (HP)
|
99% |
4937
392.7 IPS |
|
|
Object Detection (Q)
|
89% |
2497
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
6466
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
7576
90.0 IPS |
|
|
Face Detection (Q)
|
97% |
4195
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11935
92.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
19974
154.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
8631
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38929
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58176
74.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30045
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6554
242.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10332
381.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4595
170.2 IPS |
|
|
Text Classification (SP)
|
86% |
1240
1.68 KIPS |
|
|
Text Classification (HP)
|
99% |
1115
1.49 KIPS |
|
|
Text Classification (Q)
|
83% |
850
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3017
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2858
49.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1084
24.2 IPS |
