iPhone 14 Plus
Geekbench AI Score
3333
Single Precision Score
19713
Half Precision Score
22275
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 25 2026 03:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
8010
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
10829
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12732
206.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16083
260.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5788
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
85991
100.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
81399
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
11111
883.9 IPS |
|
|
Object Detection (Q)
|
89% |
11632
931.2 IPS |
|
|
Face Detection (SP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
26469
314.5 IPS |
|
|
Face Detection (Q)
|
100% |
35748
424.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5202
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56591
436.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
68328
534.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16726
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
143384
184.3 IPS |
|
|
Style Transfer (Q)
|
96% |
146525
189.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3536
130.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27712
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28526
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4504
6.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2400
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6391
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7446
128.7 IPS |
