iPhone 14
Geekbench AI Score
3272
Single Precision Score
5639
Half Precision Score
4553
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.9 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2405
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6056
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
13481
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11614
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1918
152.9 IPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5744
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11107
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7532
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17306
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26788
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22237
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4659
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3511
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5710
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5759
99.5 IPS |
