System manufacturer System Product Name
Geekbench AI Score
1069
Single Precision Score
1073
Half Precision Score
632
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | alexvb |
| Upload Date | January 04 2025 11:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H310M-R R2.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.6 IPS |
|
|
Image Classification (Q)
|
99% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
464
7.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
1247
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1233
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1096
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (HP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (Q)
|
85% |
451
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
940
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1283
9.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.87 IPS |
|
|
Depth Estimation (Q)
|
63% |
880
8.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1638
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1635
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
2294
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
730
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1135
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
328
440.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
58% |
283
6.66 IPS |
