Gigabyte Technology Co., Ltd. Z390 AORUS MASTER
Geekbench AI Score
2872
Single Precision Score
1149
Half Precision Score
4042
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bassiek |
| Upload Date | February 18 2025 08:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2447
455.1 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
96% |
3993
745.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2155
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5113
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3868
4.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
10467
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
58% |
2688
293.7 IPS |
|
|
Face Detection (SP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
6895
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5661
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1454
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8044
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10400
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7699
9.90 IPS |
|
|
Style Transfer (Q)
|
87% |
14376
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2519
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
1274
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
660
881.0 IPS |
|
|
Text Classification (Q)
|
97% |
1162
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2061
39.8 IPS |
