iPhone 14
Geekbench AI Score
3135
Single Precision Score
5452
Half Precision Score
4359
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.1 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2353
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5814
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
12914
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10794
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2647
210.7 IPS |
|
|
Object Detection (Q)
|
94% |
1849
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
2988
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5088
39.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10666
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7127
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16225
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25409
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20726
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3302
121.9 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4100
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5414
93.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5453
94.2 IPS |
