Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7
Geekbench AI Score
43986
Single Precision Score
66722
Half Precision Score
32373
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 07:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16277
3.03 KIPS |
|
|
Image Classification (HP)
|
100% |
21770
4.05 KIPS |
|
|
Image Classification (Q)
|
100% |
13731
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33957
550.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
42607
690.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
30886
502.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
379890
443.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
925618
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
308792
361.7 IPS |
|
|
Object Detection (SP)
|
100% |
21982
1.74 KIPS |
|
|
Object Detection (HP)
|
100% |
28101
2.23 KIPS |
|
|
Object Detection (Q)
|
85% |
18705
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
67150
797.9 IPS |
|
|
Face Detection (HP)
|
100% |
88650
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
52948
631.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
98426
758.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
184098
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70579
565.3 IPS |
|
|
Style Transfer (SP)
|
100% |
555551
714.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1611557
2.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
471662
608.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67658
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94038
3.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48671
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4946
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2205
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6013
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5925
102.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2729
51.2 IPS |
