Generic
Geekbench AI Score
1140
Single Precision Score
1132
Half Precision Score
1258
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| User | Remarc |
| Upload Date | January 21 2026 02:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-4170 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H81M-VG4 R3.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4170 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (Q)
|
100% |
794
147.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
899
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1348
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1364
1.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
1665
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
87% |
809
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
2139
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1590
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1580
12.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
2025
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4171
5.36 IPS |
|
|
Style Transfer (HP)
|
100% |
4181
5.37 IPS |
|
|
Style Transfer (Q)
|
98% |
4696
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1002
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
91% |
408
548.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1243
21.4 IPS |
