Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
27436
Single Precision Score
41383
Half Precision Score
21189
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11391
2.12 KIPS |
|
|
Image Classification (HP)
|
99% |
16882
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9687
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18631
302.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23534
381.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16880
274.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
168988
197.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
416979
486.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
145500
170.5 IPS |
|
|
Object Detection (SP)
|
100% |
13056
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
20312
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
11113
894.7 IPS |
|
|
Face Detection (SP)
|
100% |
37298
443.2 IPS |
|
|
Face Detection (HP)
|
100% |
48418
575.3 IPS |
|
|
Face Detection (Q)
|
97% |
32333
385.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
63877
492.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112208
866.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
50180
401.2 IPS |
|
|
Style Transfer (SP)
|
100% |
287424
369.5 IPS |
|
|
Style Transfer (HP)
|
100% |
658483
846.5 IPS |
|
|
Style Transfer (Q)
|
98% |
255696
329.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46040
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58968
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33502
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4365
5.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2061
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2409
45.2 IPS |
