Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
5215
Single Precision Score
8566
Half Precision Score
13296
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | November 03 2024 10:42 AM |
| Views | 10 |
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% |
3655
679.7 IPS |
|
|
Image Classification (HP)
|
100% |
7158
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10230
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6622
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
33818
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
72047
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (HP)
|
100% |
4885
387.5 IPS |
|
|
Object Detection (Q)
|
89% |
9035
723.6 IPS |
|
|
Face Detection (SP)
|
100% |
10627
126.3 IPS |
|
|
Face Detection (HP)
|
100% |
14404
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
27274
324.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8875
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17491
134.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
34340
267.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20042
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53198
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
94442
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12071
445.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21084
780.8 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
1407
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2917
50.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2782
47.9 IPS |
