INTEL 17D3M
Geekbench AI Score
1000
Single Precision Score
551
Half Precision Score
1367
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 03:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | INTEL 17D3M |
| Motherboard | INTEL 17D3M |
| Power Plan | Seimbang |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
836
155.4 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (Q)
|
96% |
1096
204.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
945
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1432
1.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
2916
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
58% |
887
97.0 IPS |
|
|
Face Detection (SP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
519
6.16 IPS |
|
|
Face Detection (Q)
|
96% |
2220
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2022
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
2913
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3772
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2903
3.73 IPS |
|
|
Style Transfer (Q)
|
87% |
4191
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1500
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
697
929.7 IPS |
|
|
Text Classification (HP)
|
100% |
384
513.2 IPS |
|
|
Text Classification (Q)
|
97% |
243
325.3 IPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
68% |
862
16.6 IPS |
