Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7
Geekbench AI Score
6347
Single Precision Score
9450
Half Precision Score
13713
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 06:01 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 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4149
771.7 IPS |
|
|
Image Classification (HP)
|
100% |
6556
1.22 KIPS |
|
|
Image Classification (Q)
|
56% |
5892
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5091
82.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3642
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8014
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
34000
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73415
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
5393
427.8 IPS |
|
|
Object Detection (Q)
|
87% |
8704
698.5 IPS |
|
|
Face Detection (SP)
|
100% |
11775
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
15801
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
25764
306.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10413
80.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18995
146.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34528
268.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24846
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52386
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
95774
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13973
516.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25176
932.4 IPS |
|
|
Text Classification (SP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2313
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3422
59.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3457
59.5 IPS |
