iPhone 14 Pro
Geekbench AI Score
3624
Single Precision Score
22034
Half Precision Score
24532
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 07 2025 11:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
9092
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
10614
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15802
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19055
308.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7115
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
98271
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
101614
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
11541
915.4 IPS |
|
|
Object Detection (Q)
|
91% |
13700
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
30752
365.4 IPS |
|
|
Face Detection (Q)
|
100% |
39108
464.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6154
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72026
554.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89263
697.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19231
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
172238
221.4 IPS |
|
|
Style Transfer (Q)
|
96% |
165869
214.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4108
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32659
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35872
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (Q)
|
93% |
1639
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7175
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8238
142.4 IPS |
