iPhone 14
Geekbench AI Score
3256
Single Precision Score
5585
Half Precision Score
4531
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 03:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2422
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14267
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12086
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2713
216.0 IPS |
|
|
Object Detection (Q)
|
94% |
1926
153.6 IPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5684
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3226
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10615
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7573
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17427
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26411
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21738
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3394
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5549
95.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5575
96.3 IPS |
