iPhone 14
Geekbench AI Score
3206
Single Precision Score
5547
Half Precision Score
4473
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:25 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (Q)
|
96% |
1604
299.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2435
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6055
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
13167
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11216
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2662
211.9 IPS |
|
|
Object Detection (Q)
|
94% |
1879
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3118
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5265
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10920
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7409
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16749
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26110
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21522
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4611
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3407
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4132
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4162
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5534
95.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5525
95.5 IPS |
