Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE
Geekbench AI Score
9105
Single Precision Score
7882
Half Precision Score
6496
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 12:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Power Plan | High performance |
| 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 | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3844
714.9 IPS |
|
|
Image Classification (HP)
|
100% |
3929
730.7 IPS |
|
|
Image Classification (Q)
|
99% |
3195
595.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5880
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5437
88.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4812
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37368
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24826
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31799
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4485
355.8 IPS |
|
|
Object Detection (HP)
|
100% |
4610
365.7 IPS |
|
|
Object Detection (Q)
|
83% |
3700
299.0 IPS |
|
|
Face Detection (SP)
|
100% |
9201
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
9316
110.7 IPS |
|
|
Face Detection (Q)
|
97% |
7540
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21223
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17051
131.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15712
125.4 IPS |
|
|
Style Transfer (SP)
|
100% |
68491
88.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47702
61.3 IPS |
|
|
Style Transfer (Q)
|
98% |
55415
71.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13122
484.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10988
405.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8403
311.1 IPS |
|
|
Text Classification (SP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1479
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1092
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2981
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3076
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1228
23.0 IPS |
