iPhone 14
Geekbench AI Score
3214
Single Precision Score
19817
Half Precision Score
22408
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 08:03 PM |
| Views | 3 |
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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
8464
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
10892
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13254
214.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14581
236.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5731
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
80988
94.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
81926
96.0 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
99% |
10658
847.8 IPS |
|
|
Object Detection (Q)
|
91% |
12289
981.9 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
24442
290.4 IPS |
|
|
Face Detection (Q)
|
100% |
34410
408.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5065
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56632
436.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73990
578.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16781
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155065
199.3 IPS |
|
|
Style Transfer (Q)
|
96% |
146805
189.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28694
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30654
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2374
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6334
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7341
126.9 IPS |
