iPhone 14 Pro
Geekbench AI Score
3539
Single Precision Score
22986
Half Precision Score
27054
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rennsport |
| Upload Date | July 01 2025 10:01 PM |
| Views | 7 |
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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
10272
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
11892
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13531
219.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19114
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7074
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
99584
116.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104847
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
12792
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14826
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
30482
362.2 IPS |
|
|
Face Detection (Q)
|
100% |
40170
477.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6176
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74976
577.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95674
748.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19141
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
179280
230.5 IPS |
|
|
Style Transfer (Q)
|
96% |
179482
231.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4126
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31266
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38874
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2637
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7474
128.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8408
145.3 IPS |
