Gigabyte Technology Co., Ltd. Z590 GAMING X
Geekbench AI Score
12264
Single Precision Score
20066
Half Precision Score
8377
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | winzee |
| Upload Date | August 16 2024 11:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 GAMING X |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4907
912.6 IPS |
|
|
Image Classification (HP)
|
99% |
7731
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
3649
678.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7681
124.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10934
177.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6470
105.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
66831
78.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
168648
196.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
55918
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
6209
492.5 IPS |
|
|
Object Detection (HP)
|
100% |
10443
828.4 IPS |
|
|
Object Detection (Q)
|
89% |
4807
384.7 IPS |
|
|
Face Detection (SP)
|
100% |
13774
163.7 IPS |
|
|
Face Detection (HP)
|
100% |
20506
243.7 IPS |
|
|
Face Detection (Q)
|
97% |
10526
125.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
30236
233.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58659
451.9 IPS |
|
|
Depth Estimation (Q)
|
71% |
20231
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
111626
143.5 IPS |
|
|
Style Transfer (HP)
|
100% |
273374
351.4 IPS |
|
|
Style Transfer (Q)
|
98% |
90732
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19904
735.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30938
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12691
469.9 IPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2740
3.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1071
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1022
22.8 IPS |
