iPhone 14
Geekbench AI Score
3067
Single Precision Score
19569
Half Precision Score
22311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 03:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1235
229.7 IPS |
|
|
Image Classification (HP)
|
100% |
9388
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
10642
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12599
204.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13899
225.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
75615
88.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
83279
97.6 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
99% |
10936
870.0 IPS |
|
|
Object Detection (Q)
|
91% |
11386
909.8 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
25221
299.7 IPS |
|
|
Face Detection (Q)
|
100% |
32922
391.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4918
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55143
424.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
76299
596.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16425
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
148560
191.0 IPS |
|
|
Style Transfer (Q)
|
96% |
148210
191.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27539
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33153
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2565
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2486
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6051
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
