Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
27923
Single Precision Score
41913
Half Precision Score
21685
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 12:53 PM |
| Views | 3 |
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% |
11556
2.15 KIPS |
|
|
Image Classification (HP)
|
99% |
16751
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
9981
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18562
300.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23742
384.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16982
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
167399
195.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
421072
491.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
151345
177.3 IPS |
|
|
Object Detection (SP)
|
100% |
13289
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
20731
1.64 KIPS |
|
|
Object Detection (Q)
|
85% |
11260
906.5 IPS |
|
|
Face Detection (SP)
|
100% |
38179
453.6 IPS |
|
|
Face Detection (HP)
|
100% |
50191
596.4 IPS |
|
|
Face Detection (Q)
|
97% |
32914
392.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
65556
505.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114788
886.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
52278
418.0 IPS |
|
|
Style Transfer (SP)
|
100% |
299601
385.1 IPS |
|
|
Style Transfer (HP)
|
100% |
667850
858.5 IPS |
|
|
Style Transfer (Q)
|
98% |
266155
343.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47538
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60065
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34534
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4406
5.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2066
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4728
81.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4733
81.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2437
45.7 IPS |
