Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
10604
Single Precision Score
11264
Half Precision Score
17878
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Power Plan | Hchstleistung |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6613
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7735
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
11435
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9482
153.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5254
85.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13979
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16615
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16668
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
34030
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
6782
538.0 IPS |
|
|
Object Detection (HP)
|
100% |
8174
648.4 IPS |
|
|
Object Detection (Q)
|
88% |
12753
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
19064
226.5 IPS |
|
|
Face Detection (HP)
|
100% |
22586
268.4 IPS |
|
|
Face Detection (Q)
|
100% |
32379
384.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16724
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19294
148.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
33379
259.5 IPS |
|
|
Style Transfer (SP)
|
100% |
46129
59.3 IPS |
|
|
Style Transfer (HP)
|
100% |
45456
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
98085
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10039
370.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10180
375.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18962
702.2 IPS |
|
|
Text Classification (SP)
|
100% |
4469
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (Q)
|
92% |
6319
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8428
145.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3787
65.2 IPS |
