Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
5155
Single Precision Score
9641
Half Precision Score
14407
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | December 20 2024 10:40 AM |
| Views | 8 |
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 | 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% |
3612
671.8 IPS |
|
|
Image Classification (HP)
|
100% |
6441
1.20 KIPS |
|
|
Image Classification (Q)
|
56% |
6541
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3382
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3749
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
34521
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74807
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (HP)
|
100% |
5799
460.0 IPS |
|
|
Object Detection (Q)
|
87% |
9677
776.6 IPS |
|
|
Face Detection (SP)
|
100% |
10514
124.9 IPS |
|
|
Face Detection (HP)
|
100% |
16538
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
26956
320.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8823
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20094
154.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
36628
285.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19875
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
55859
71.8 IPS |
|
|
Style Transfer (Q)
|
98% |
101724
131.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14484
534.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25696
951.6 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2387
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2772
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3057
52.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3523
60.7 IPS |
