Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench AI Score
5132
Single Precision Score
9013
Half Precision Score
13155
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 05:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| 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% |
3407
633.5 IPS |
|
|
Image Classification (HP)
|
100% |
5876
1.09 KIPS |
|
|
Image Classification (Q)
|
56% |
5769
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3793
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3183
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6155
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
32644
38.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73084
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
3194
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
5508
436.9 IPS |
|
|
Object Detection (Q)
|
87% |
8349
670.1 IPS |
|
|
Face Detection (SP)
|
100% |
10154
120.7 IPS |
|
|
Face Detection (HP)
|
100% |
14925
177.3 IPS |
|
|
Face Detection (Q)
|
100% |
24935
296.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8110
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18579
143.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
33362
259.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18725
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52576
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96443
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12846
474.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22358
828.0 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2324
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3325
57.3 IPS |
