Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
4956
Single Precision Score
8346
Half Precision Score
12994
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | November 03 2024 08:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3512
653.1 IPS |
|
|
Image Classification (HP)
|
100% |
7192
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10363
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3260
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3513
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
33736
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72027
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
3204
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
4924
390.6 IPS |
|
|
Object Detection (Q)
|
89% |
9014
721.9 IPS |
|
|
Face Detection (SP)
|
100% |
9977
118.5 IPS |
|
|
Face Detection (HP)
|
100% |
13863
164.7 IPS |
|
|
Face Detection (Q)
|
100% |
23267
276.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8361
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15699
120.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32016
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18743
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49193
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88281
113.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12206
450.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22000
814.7 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
1440
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2787
48.0 IPS |
