iPhone 14 Pro
Geekbench AI Score
3300
Single Precision Score
22203
Half Precision Score
24118
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 06 2025 10:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
9763
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
11626
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14933
242.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18843
305.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
95833
111.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
100976
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
12447
987.3 IPS |
|
|
Object Detection (Q)
|
91% |
14443
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
31196
370.7 IPS |
|
|
Face Detection (Q)
|
100% |
39534
469.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5880
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
70564
543.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
84197
658.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12787
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
155685
200.1 IPS |
|
|
Style Transfer (Q)
|
96% |
141151
182.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32224
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38203
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
1419
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7168
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8186
141.5 IPS |
