iPhone 14 Pro
Geekbench AI Score
3557
Single Precision Score
23387
Half Precision Score
26956
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xplo |
| Upload Date | September 13 2025 06:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
10178
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
13057
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16144
261.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19200
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6857
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
98627
115.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105381
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
13253
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
14949
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
31807
377.9 IPS |
|
|
Face Detection (Q)
|
100% |
40062
476.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6080
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75468
581.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95040
743.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18986
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
181717
233.6 IPS |
|
|
Style Transfer (Q)
|
96% |
181676
234.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32295
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37907
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2124
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2336
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7619
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8375
144.7 IPS |
