GIGABYTE GB-BRi5(H)-8250
Geekbench AI Score
855
Single Precision Score
871
Half Precision Score
489
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | robroy114 |
| Upload Date | February 26 2025 06:05 PM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | GIGABYTE GB-BRi5(H)-8250 |
| Motherboard | GIGABYTE MFLP5IP-00 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
99% |
369
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
425
6.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
905
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
767
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (Q)
|
85% |
352
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
687
8.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.54 IPS |
|
|
Depth Estimation (Q)
|
63% |
588
5.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1424
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1438
1.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1564
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
453
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
277
372.4 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (Q)
|
58% |
235
5.51 IPS |
