iPhone 14
Geekbench AI Score
3176
Single Precision Score
5603
Half Precision Score
4544
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 08:06 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 |
| 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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.4 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2414
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
13527
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11471
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
2644
210.5 IPS |
|
|
Object Detection (Q)
|
94% |
1890
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5348
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3040
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5140
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10333
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7115
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16497
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26605
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21704
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3544
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4175
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6156
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6365
110.0 IPS |
