iPhone 14 Pro
Geekbench AI Score
3545
Single Precision Score
23584
Half Precision Score
26975
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | winzee |
| Upload Date | August 05 2025 01:09 PM |
| Views | 9 |
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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
10362
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12586
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15954
258.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19087
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7127
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
102849
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103804
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
13286
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
15045
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
31845
378.4 IPS |
|
|
Face Detection (Q)
|
100% |
40277
478.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6119
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75334
580.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
96836
757.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19164
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
178954
230.0 IPS |
|
|
Style Transfer (Q)
|
96% |
183524
236.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32172
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38351
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7553
130.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8401
145.2 IPS |
