iPhone 14
Geekbench AI Score
3226
Single Precision Score
5578
Half Precision Score
4484
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RafaelReverberi |
| Upload Date | November 10 2024 08:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1367
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
2345
436.2 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6020
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
13385
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11334
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2680
213.4 IPS |
|
|
Object Detection (Q)
|
94% |
1882
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5590
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3104
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11014
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7301
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16854
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26290
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21437
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3454
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4111
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5579
96.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5635
97.4 IPS |
