iPhone 14 Pro
Geekbench AI Score
1551
Single Precision Score
10579
Half Precision Score
11695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
582
108.2 IPS |
|
|
Image Classification (HP)
|
100% |
3476
646.4 IPS |
|
|
Image Classification (Q)
|
97% |
4281
798.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8798
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10519
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
42849
50.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
44238
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
5550
440.2 IPS |
|
|
Object Detection (Q)
|
91% |
6204
495.7 IPS |
|
|
Face Detection (SP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
14287
169.8 IPS |
|
|
Face Detection (Q)
|
100% |
18070
214.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2583
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
32212
248.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
37580
293.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7980
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
81362
104.6 IPS |
|
|
Style Transfer (Q)
|
96% |
80393
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13468
497.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14598
539.0 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (Q)
|
93% |
1360
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3574
61.8 IPS |
