iPhone 14 Plus
Geekbench AI Score
3009
Single Precision Score
3496
Half Precision Score
3067
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 22 2025 05:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (HP)
|
100% |
738
137.2 IPS |
|
|
Image Classification (Q)
|
96% |
708
132.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2238
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10926
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12126
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8453
9.90 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (Q)
|
92% |
1192
95.1 IPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
5794
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
4245
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8393
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8899
68.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7043
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18689
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23229
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22590
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3393
125.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3401
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
99% |
2076
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2079
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.8 IPS |
