Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench AI Score
5203
Single Precision Score
9066
Half Precision Score
13390
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 07:46 PM |
| Views | 2 |
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% |
3472
645.7 IPS |
|
|
Image Classification (HP)
|
100% |
6578
1.22 KIPS |
|
|
Image Classification (Q)
|
56% |
6189
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3973
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3245
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6177
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
32503
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
69744
81.7 IPS |
|
|
Object Detection (SP)
|
100% |
3236
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
5143
408.0 IPS |
|
|
Object Detection (Q)
|
87% |
8597
690.0 IPS |
|
|
Face Detection (SP)
|
100% |
10321
122.6 IPS |
|
|
Face Detection (HP)
|
100% |
14031
166.7 IPS |
|
|
Face Detection (Q)
|
100% |
24547
291.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8185
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18776
144.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33877
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18656
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52682
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95056
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3975
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13223
488.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24047
890.5 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2194
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3690
63.6 IPS |
