Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X AX
Geekbench AI Score
2841
Single Precision Score
4108
Half Precision Score
6445
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | frufus |
| Upload Date | April 17 2025 04:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
2851
530.2 IPS |
|
|
Image Classification (Q)
|
99% |
4388
818.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4178
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5000
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4527
5.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
3296
3.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
13541
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
2520
200.5 IPS |
|
|
Object Detection (Q)
|
90% |
4615
369.0 IPS |
|
|
Face Detection (SP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8271
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
11184
132.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5360
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8947
69.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12151
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11747
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18338
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31004
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7071
261.9 IPS |
|
|
Text Classification (SP)
|
71% |
1268
1.83 KIPS |
|
|
Text Classification (HP)
|
71% |
1529
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1932
33.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1919
33.1 IPS |
