iPhone 14 Pro
Geekbench AI Score
3482
Single Precision Score
23264
Half Precision Score
27239
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:15 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
10284
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12396
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16152
261.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19223
311.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6344
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
99463
116.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101926
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
12749
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
15018
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
32107
381.5 IPS |
|
|
Face Detection (Q)
|
100% |
40873
485.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5915
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75636
582.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
95532
746.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18261
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
166898
214.6 IPS |
|
|
Style Transfer (Q)
|
96% |
168391
217.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33837
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36693
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2995
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7507
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8533
147.5 IPS |
