Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA
Geekbench AI Score
3917
Single Precision Score
3928
Half Precision Score
2868
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Aaronage |
| Upload Date | February 03 2025 10:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3262
606.6 IPS |
|
|
Image Classification (HP)
|
100% |
3254
605.2 IPS |
|
|
Image Classification (Q)
|
99% |
2196
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4599
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4650
75.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1944
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5049
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5062
5.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
7342
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
3482
276.2 IPS |
|
|
Object Detection (HP)
|
100% |
3490
276.9 IPS |
|
|
Object Detection (Q)
|
85% |
2487
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
5503
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
5538
65.8 IPS |
|
|
Face Detection (Q)
|
97% |
4348
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4737
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4750
36.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3607
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5702
7.33 IPS |
|
|
Style Transfer (HP)
|
100% |
5728
7.36 IPS |
|
|
Style Transfer (Q)
|
98% |
11154
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3183
117.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3153
116.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3073
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4137
71.3 IPS |
|
|
Machine Translation (Q)
|
58% |
879
20.6 IPS |
