Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
7158
Single Precision Score
2651
Half Precision Score
11513
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Luis_Catibayan |
| Upload Date | September 07 2025 11:53 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M GAMING X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5959
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
852
158.5 IPS |
|
|
Image Classification (Q)
|
99% |
9926
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16322
265.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14521
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8544
9.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
45187
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
5399
428.3 IPS |
|
|
Object Detection (HP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (Q)
|
86% |
12272
986.3 IPS |
|
|
Face Detection (SP)
|
100% |
14649
174.1 IPS |
|
|
Face Detection (HP)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
14032
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16515
127.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3653
28.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24979
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32044
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21720
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29038
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7406
274.2 IPS |
|
|
Text Classification (SP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1554
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3888
78.1 IPS |
