Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE
Geekbench AI Score
9858
Single Precision Score
7888
Half Precision Score
17276
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | raaphor |
| Upload Date | February 05 2025 11:20 AM |
| Views | 14 |
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 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Power Plan | Hoge prestaties |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6176
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
|
Image Classification (Q)
|
100% |
10702
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8046
130.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4822
78.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12100
196.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16228
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15626
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
35185
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
5801
460.1 IPS |
|
|
Object Detection (HP)
|
100% |
3732
296.0 IPS |
|
|
Object Detection (Q)
|
88% |
11648
933.7 IPS |
|
|
Face Detection (SP)
|
100% |
16883
200.6 IPS |
|
|
Face Detection (HP)
|
100% |
10260
121.9 IPS |
|
|
Face Detection (Q)
|
100% |
31314
372.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16548
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14159
109.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33956
264.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46941
60.3 IPS |
|
|
Style Transfer (HP)
|
100% |
45063
57.9 IPS |
|
|
Style Transfer (Q)
|
98% |
99147
127.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9559
353.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9784
361.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18662
691.1 IPS |
|
|
Text Classification (SP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6478
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4436
76.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3503
60.3 IPS |
