iPhone 14 Pro
Geekbench AI Score
3526
Single Precision Score
23759
Half Precision Score
26850
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 06:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
10230
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
13074
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16193
262.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19201
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6999
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
103091
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104765
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
13012
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14729
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
31250
371.3 IPS |
|
|
Face Detection (Q)
|
100% |
40285
478.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75388
580.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
96694
756.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19093
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
178909
230.0 IPS |
|
|
Style Transfer (Q)
|
96% |
180672
233.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31527
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36819
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2299
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7548
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8439
145.8 IPS |
