iPhone 14
Geekbench AI Score
1576
Single Precision Score
2671
Half Precision Score
2150
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MUMUZINHO |
| Upload Date | April 19 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (HP)
|
100% |
1057
196.5 IPS |
|
|
Image Classification (Q)
|
96% |
719
134.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1125
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2975
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
5543
6.50 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
97% |
1212
96.5 IPS |
|
|
Object Detection (Q)
|
94% |
861
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (Q)
|
100% |
1460
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2404
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4656
36.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
3257
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7951
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12526
16.1 IPS |
|
|
Style Transfer (Q)
|
96% |
10325
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1657
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (Q)
|
93% |
2096
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3232
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3212
55.5 IPS |
