System manufacturer System Product Name
Geekbench AI Score
594
Single Precision Score
232
Half Precision Score
736
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | AhmaadACM |
| Upload Date | August 30 2024 02:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF H310-PLUS GAMING |
| Power Plan | Ultimate Performance |
| 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 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
97% |
515
96.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
502
8.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
912
1.06 IPS |
|
|
Pose Estimation (Q)
|
87% |
1797
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.98 IPS |
|
|
Object Detection (Q)
|
86% |
405
32.6 IPS |
|
|
Face Detection (SP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
113
1.34 IPS |
|
|
Face Detection (Q)
|
96% |
934
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
893
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
76% |
1004
8.09 IPS |
|
|
Style Transfer (SP)
|
100% |
2305
2.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1912
2.46 IPS |
|
|
Style Transfer (Q)
|
87% |
3647
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
702
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.1 IPS |
|
|
Text Classification (HP)
|
100% |
218
291.1 IPS |
|
|
Text Classification (Q)
|
97% |
200
268.2 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (Q)
|
60% |
520
11.6 IPS |
