iPhone 14
Geekbench AI Score
1429
Single Precision Score
2067
Half Precision Score
1773
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 06:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
592
110.1 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.8 IPS |
|
|
Image Classification (Q)
|
96% |
585
109.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
767
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
5306
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (HP)
|
97% |
927
73.8 IPS |
|
|
Object Detection (Q)
|
94% |
714
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (Q)
|
100% |
1185
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2190
16.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
3570
27.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
2651
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7440
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
11426
14.7 IPS |
|
|
Style Transfer (Q)
|
96% |
9569
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2149
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1608
59.4 IPS |
|
|
Text Classification (SP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1649
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1641
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2278
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2284
39.5 IPS |
