INTEL Default string
Geekbench AI Score
4893
Single Precision Score
1607
Half Precision Score
8012
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 01:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | INTEL Default string |
| Motherboard | W680PM |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4164
774.4 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.2 IPS |
|
|
Image Classification (Q)
|
99% |
7169
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4087
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9692
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4527
5.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
31804
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3610
286.3 IPS |
|
|
Object Detection (HP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (Q)
|
86% |
7591
610.1 IPS |
|
|
Face Detection (SP)
|
100% |
9100
108.1 IPS |
|
|
Face Detection (HP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
11422
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11229
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2078
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17981
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20681
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11096
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20148
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1922
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3846
77.3 IPS |
