Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
27519
Single Precision Score
41606
Half Precision Score
21032
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TuanAnhDT |
| Upload Date | November 22 2025 03:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10511
1.95 KIPS |
|
|
Image Classification (HP)
|
99% |
16033
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
9365
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21269
344.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28609
463.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18658
303.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
153963
179.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
354312
413.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
135158
158.4 IPS |
|
|
Object Detection (SP)
|
100% |
13314
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
21328
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
11056
890.0 IPS |
|
|
Face Detection (SP)
|
100% |
37204
442.1 IPS |
|
|
Face Detection (HP)
|
100% |
53559
636.4 IPS |
|
|
Face Detection (Q)
|
97% |
31172
371.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
64668
498.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110293
849.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
51323
409.8 IPS |
|
|
Style Transfer (SP)
|
100% |
259773
333.9 IPS |
|
|
Style Transfer (HP)
|
100% |
568598
730.9 IPS |
|
|
Style Transfer (Q)
|
98% |
229729
296.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45287
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55016
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32578
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
4218
5.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2145
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5625
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5754
99.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2526
47.4 IPS |
