Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7
Geekbench AI Score
9694
Single Precision Score
9866
Half Precision Score
14433
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 03:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
6192
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6860
1.28 KIPS |
|
|
Image Classification (Q)
|
56% |
6227
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8517
138.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3973
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14975
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34460
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74975
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
5994
475.4 IPS |
|
|
Object Detection (HP)
|
100% |
5767
457.4 IPS |
|
|
Object Detection (Q)
|
87% |
9657
775.1 IPS |
|
|
Face Detection (SP)
|
100% |
17113
203.3 IPS |
|
|
Face Detection (HP)
|
100% |
17493
207.9 IPS |
|
|
Face Detection (Q)
|
100% |
29398
349.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15068
116.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19733
152.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
36263
282.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42269
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54519
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
100263
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8717
321.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14047
518.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24946
923.8 IPS |
|
|
Text Classification (SP)
|
100% |
4200
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4356
75.0 IPS |
