Gigabyte Technology Co., Ltd. H270N-WIFI
Geekbench AI Score
1164
Single Precision Score
1165
Half Precision Score
642
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ohoel |
| Upload Date | January 26 2025 09:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Gigabyte Technology Co., Ltd. H270N-WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. H270N-WIFI-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
820
152.6 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (Q)
|
99% |
410
76.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
470
7.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
1344
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1339
1.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
1111
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
839
66.6 IPS |
|
|
Object Detection (Q)
|
85% |
453
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
948
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1415
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
890
8.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1849
2.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1850
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2348
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
811
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
634
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
342
459.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
58% |
290
6.81 IPS |
