Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
4813
Single Precision Score
4850
Half Precision Score
12053
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | December 19 2024 10:26 AM |
| Views | 8 |
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 | Ultimate Performance |
| 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% |
3484
647.9 IPS |
|
|
Image Classification (HP)
|
100% |
3490
648.9 IPS |
|
|
Image Classification (Q)
|
100% |
8405
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3209
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6756
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6233
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6277
7.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
24588
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3126
247.9 IPS |
|
|
Object Detection (HP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (Q)
|
88% |
8705
697.8 IPS |
|
|
Face Detection (SP)
|
100% |
8371
99.5 IPS |
|
|
Face Detection (HP)
|
100% |
8379
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
20597
244.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8201
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8319
64.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22437
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19153
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18927
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69821
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4030
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13522
500.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
4885
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2499
43.0 IPS |
