Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
8546
Single Precision Score
13206
Half Precision Score
19581
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | February 20 2025 12:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
5925
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8755
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
11263
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5661
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12089
196.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17048
276.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18840
22.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
17787
20.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
52552
61.5 IPS |
|
|
Object Detection (SP)
|
100% |
5403
428.5 IPS |
|
|
Object Detection (HP)
|
100% |
8293
657.8 IPS |
|
|
Object Detection (Q)
|
88% |
13113
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
11698
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
22544
267.9 IPS |
|
|
Face Detection (Q)
|
100% |
34294
407.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19231
148.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
33466
258.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
38207
297.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46095
59.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64272
82.6 IPS |
|
|
Style Transfer (Q)
|
98% |
127008
163.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8099
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14340
529.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22553
835.2 IPS |
|
|
Text Classification (SP)
|
71% |
2385
3.45 KIPS |
|
|
Text Classification (HP)
|
71% |
3601
5.21 KIPS |
|
|
Text Classification (Q)
|
92% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
96% |
4127
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4129
71.1 IPS |
