Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7
Geekbench AI Score
6251
Single Precision Score
9517
Half Precision Score
13761
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 09:54 PM |
| 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. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3942
733.1 IPS |
|
|
Image Classification (HP)
|
100% |
6744
1.25 KIPS |
|
|
Image Classification (Q)
|
56% |
6062
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5072
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3646
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7739
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
34218
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74270
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (HP)
|
100% |
5451
432.4 IPS |
|
|
Object Detection (Q)
|
87% |
8871
712.0 IPS |
|
|
Face Detection (SP)
|
100% |
11835
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
16119
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
25902
307.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9828
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19101
147.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35043
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23329
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53070
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
97562
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14222
525.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24810
918.8 IPS |
|
|
Text Classification (SP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2237
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3016
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3404
58.6 IPS |
