Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
7516
Single Precision Score
10952
Half Precision Score
17081
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | December 20 2024 09:22 AM |
| Views | 3 |
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 | 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% |
5094
947.4 IPS |
|
|
Image Classification (HP)
|
100% |
7360
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
9964
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5103
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10397
168.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15157
245.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16099
18.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
15048
17.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
44858
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.8 IPS |
|
|
Object Detection (HP)
|
100% |
6483
514.2 IPS |
|
|
Object Detection (Q)
|
88% |
11316
906.9 IPS |
|
|
Face Detection (SP)
|
100% |
10762
127.9 IPS |
|
|
Face Detection (HP)
|
100% |
19343
229.8 IPS |
|
|
Face Detection (Q)
|
100% |
31157
370.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16442
126.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
27443
212.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33315
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39576
50.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54498
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
108793
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6887
254.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10379
383.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19464
720.8 IPS |
|
|
Text Classification (SP)
|
71% |
2297
3.32 KIPS |
|
|
Text Classification (HP)
|
71% |
3000
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3412
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3694
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3678
63.3 IPS |
