iPhone 14
Geekbench AI Score
3582
Single Precision Score
3671
Half Precision Score
3492
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 29 2025 12:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (Q)
|
96% |
664
124.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2732
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11274
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12689
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12463
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.1 IPS |
|
|
Object Detection (Q)
|
92% |
1252
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
4035
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8212
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9134
70.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8373
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18843
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23106
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22427
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3470
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4317
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4277
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
