Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
3079
Single Precision Score
9777
Half Precision Score
14267
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | December 22 2024 08:14 AM |
| Views | 2 |
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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
7053
1.31 KIPS |
|
|
Image Classification (Q)
|
56% |
6488
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3707
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3098
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
34487
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74331
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
2004
159.0 IPS |
|
|
Object Detection (HP)
|
100% |
5736
455.0 IPS |
|
|
Object Detection (Q)
|
87% |
9417
755.8 IPS |
|
|
Face Detection (SP)
|
100% |
6315
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
15738
187.0 IPS |
|
|
Face Detection (Q)
|
100% |
26089
310.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4919
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20053
154.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
36690
285.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9888
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55694
71.6 IPS |
|
|
Style Transfer (Q)
|
98% |
102571
132.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14271
527.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25351
938.8 IPS |
|
|
Text Classification (SP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
2439
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3421
58.9 IPS |
