Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
5706
Single Precision Score
3340
Half Precision Score
13992
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | February 20 2025 12:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| 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 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3534
657.3 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (Q)
|
100% |
8588
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4356
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9528
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
24997
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
3279
260.1 IPS |
|
|
Object Detection (HP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (Q)
|
88% |
9025
723.4 IPS |
|
|
Face Detection (SP)
|
100% |
10085
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
4648
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
23753
282.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4919
37.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24827
193.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19461
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12649
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70700
91.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13660
505.9 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5795
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4753
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4723
81.4 IPS |
