iPhone 14
Geekbench AI Score
3222
Single Precision Score
5712
Half Precision Score
4616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2403
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
13631
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11367
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2651
211.1 IPS |
|
|
Object Detection (Q)
|
94% |
1887
150.4 IPS |
|
|
Face Detection (SP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5530
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3094
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5310
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10609
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16862
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27674
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22627
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3655
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4364
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4287
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3657
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6444
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6434
111.2 IPS |
