Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
5059
Single Precision Score
5240
Half Precision Score
12739
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | November 03 2024 09:55 AM |
| Views | 9 |
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 | High 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% |
3486
648.4 IPS |
|
|
Image Classification (HP)
|
100% |
3652
679.2 IPS |
|
|
Image Classification (Q)
|
100% |
8437
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3402
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3475
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7310
118.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6215
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6635
7.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
24571
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3332
264.3 IPS |
|
|
Object Detection (HP)
|
100% |
3434
272.4 IPS |
|
|
Object Detection (Q)
|
88% |
9200
737.5 IPS |
|
|
Face Detection (SP)
|
100% |
10461
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
10700
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
23009
273.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8469
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8855
68.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
23681
184.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18854
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19909
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70449
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14366
532.0 IPS |
|
|
Text Classification (SP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5164
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2894
49.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2837
48.9 IPS |
