iPhone 14 Pro
Geekbench AI Score
3526
Single Precision Score
19985
Half Precision Score
22037
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | October 20 2024 06:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
10233
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
11946
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11831
191.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13300
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
97525
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101590
119.1 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
12965
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14600
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
31473
374.0 IPS |
|
|
Face Detection (Q)
|
100% |
40121
476.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6252
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74673
575.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
96212
752.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17463
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171593
220.6 IPS |
|
|
Style Transfer (Q)
|
96% |
170406
219.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32305
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36562
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2031
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2389
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
