iPhone 14 Pro
Geekbench AI Score
3537
Single Precision Score
23072
Half Precision Score
26374
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Gamepak40 |
| Upload Date | August 09 2025 08:16 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
9780
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
12464
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16063
260.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19143
310.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7118
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
98032
114.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105172
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
12866
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14753
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
31110
369.7 IPS |
|
|
Face Detection (Q)
|
100% |
39230
466.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6137
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75012
577.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
93365
730.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19182
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
177665
228.4 IPS |
|
|
Style Transfer (Q)
|
96% |
174626
225.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4158
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32460
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37015
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2193
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7586
130.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8473
146.4 IPS |
