iPhone 14 Plus
Geekbench AI Score
3248
Single Precision Score
5733
Half Precision Score
4683
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 11:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2437
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6148
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14011
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12428
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1953
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5362
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10592
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7369
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16963
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27802
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22696
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4846
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3626
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4318
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6310
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6355
109.8 IPS |
