Gigabyte Technology Co., Ltd. Z370N WIFI
Geekbench AI Score
14922
Single Precision Score
23150
Half Precision Score
12080
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | brokenway |
| Upload Date | May 29 2025 12:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370N WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. Z370N WIFI-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5448
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
8203
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
5029
938.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9444
153.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11803
191.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8645
140.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
84566
98.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
216187
252.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71860
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
7398
586.8 IPS |
|
|
Object Detection (HP)
|
100% |
11222
890.1 IPS |
|
|
Object Detection (Q)
|
84% |
6573
530.2 IPS |
|
|
Face Detection (SP)
|
100% |
17801
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
26058
309.6 IPS |
|
|
Face Detection (Q)
|
97% |
16150
192.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38626
297.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
70475
543.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32211
257.7 IPS |
|
|
Style Transfer (SP)
|
100% |
135706
174.5 IPS |
|
|
Style Transfer (HP)
|
100% |
307401
395.2 IPS |
|
|
Style Transfer (Q)
|
98% |
123086
158.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24536
906.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35472
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19092
707.0 IPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
99% |
3339
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1721
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1532
28.7 IPS |
