iPhone 14 Plus
Geekbench AI Score
3944
Single Precision Score
4249
Half Precision Score
3751
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 25 2026 03:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1333
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
1256
233.5 IPS |
|
|
Image Classification (Q)
|
94% |
672
125.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12827
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12362
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
1234
97.9 IPS |
|
|
Object Detection (Q)
|
91% |
1278
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
4728
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4812
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
4532
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9038
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8375
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18828
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23211
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22782
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3910
144.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3283
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
4492
6.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6936
9.26 KIPS |
|
|
Text Classification (Q)
|
93% |
7037
9.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
966
16.7 IPS |
