iPhone 14 Pro
Geekbench AI Score
3496
Single Precision Score
23443
Half Precision Score
27112
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:32 AM |
| Views | 1 |
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% |
10393
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12616
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13570
220.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19126
310.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6653
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
98963
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102990
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
12549
995.4 IPS |
|
|
Object Detection (Q)
|
91% |
14953
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
31878
378.8 IPS |
|
|
Face Detection (Q)
|
100% |
40341
479.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6010
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75294
580.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
95285
745.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18532
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
178856
229.9 IPS |
|
|
Style Transfer (Q)
|
96% |
178655
230.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4091
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32328
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38170
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2626
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7570
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8392
145.0 IPS |
