iPhone 14
Geekbench AI Score
2977
Single Precision Score
4483
Half Precision Score
3673
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | somata |
| Upload Date | August 20 2024 05:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
1773
329.7 IPS |
|
|
Image Classification (Q)
|
99% |
1767
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1131
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
13392
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11096
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2089
166.3 IPS |
|
|
Object Detection (Q)
|
94% |
1585
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
2519
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7858
60.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
3665
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15950
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24949
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24635
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3436
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3433
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3802
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2578
44.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4310
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4294
74.2 IPS |
