Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
4946
Single Precision Score
9818
Half Precision Score
14298
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | November 14 2024 10:02 AM |
| 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 | 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% |
3469
645.1 IPS |
|
|
Image Classification (HP)
|
100% |
7061
1.31 KIPS |
|
|
Image Classification (Q)
|
56% |
6483
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3259
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3727
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6232
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
34436
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74747
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
5699
452.0 IPS |
|
|
Object Detection (Q)
|
87% |
9417
755.8 IPS |
|
|
Face Detection (SP)
|
100% |
10040
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
16374
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
26873
319.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8445
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19916
153.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
36278
282.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18692
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55069
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
100878
130.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14391
531.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25427
941.6 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
2362
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3555
61.2 IPS |
