Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
4817
Single Precision Score
8440
Half Precision Score
12806
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | December 19 2024 10:40 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 | 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% |
3450
641.6 IPS |
|
|
Image Classification (HP)
|
100% |
5156
958.8 IPS |
|
|
Image Classification (Q)
|
56% |
6196
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3271
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
33543
39.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72422
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
3114
247.0 IPS |
|
|
Object Detection (HP)
|
100% |
4994
396.1 IPS |
|
|
Object Detection (Q)
|
87% |
8582
688.8 IPS |
|
|
Face Detection (SP)
|
100% |
8134
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
13589
161.5 IPS |
|
|
Face Detection (Q)
|
100% |
22369
265.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15829
122.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
29103
226.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18565
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46271
59.5 IPS |
|
|
Style Transfer (Q)
|
98% |
85087
109.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4018
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13261
489.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24546
909.0 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2287
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2802
48.3 IPS |
