Gigabyte Technology Co., Ltd. Z890 AORUS MASTER
Geekbench AI Score
8222
Single Precision Score
8646
Half Precision Score
13412
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 25 2024 04:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6021
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
7012
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10056
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6328
102.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2663
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13768
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33939
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72899
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
5770
457.7 IPS |
|
|
Object Detection (HP)
|
100% |
5024
398.5 IPS |
|
|
Object Detection (Q)
|
89% |
8908
713.5 IPS |
|
|
Face Detection (SP)
|
100% |
16668
198.1 IPS |
|
|
Face Detection (HP)
|
100% |
14528
172.6 IPS |
|
|
Face Detection (Q)
|
100% |
27543
327.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15801
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17452
134.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
34377
267.4 IPS |
|
|
Style Transfer (SP)
|
100% |
40682
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53110
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93084
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8192
302.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12807
472.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21416
793.1 IPS |
|
|
Text Classification (SP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1399
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3084
53.1 IPS |
