Gigabyte Technology Co., Ltd. Z890M GAMING X
Geekbench AI Score
4890
Single Precision Score
8403
Half Precision Score
13200
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | arabus |
| Upload Date | November 05 2024 12:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3407
633.7 IPS |
|
|
Image Classification (HP)
|
100% |
7012
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9999
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3285
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3463
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6218
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
33674
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71329
83.6 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
4898
388.5 IPS |
|
|
Object Detection (Q)
|
89% |
8924
714.7 IPS |
|
|
Face Detection (SP)
|
100% |
9214
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
13829
164.3 IPS |
|
|
Face Detection (Q)
|
100% |
27253
323.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16356
126.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
32950
256.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49775
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88792
114.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12910
476.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21854
809.3 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2953
50.9 IPS |
