iPhone 14
Geekbench AI Score
3318
Single Precision Score
19327
Half Precision Score
21441
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
7919
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9556
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13009
210.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12971
210.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6391
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
84939
99.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93620
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
10773
856.9 IPS |
|
|
Object Detection (Q)
|
91% |
11587
925.8 IPS |
|
|
Face Detection (SP)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
25538
303.4 IPS |
|
|
Face Detection (Q)
|
100% |
31488
374.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52954
408.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71608
559.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17791
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
154353
198.4 IPS |
|
|
Style Transfer (Q)
|
96% |
152334
196.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3943
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26616
982.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27638
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2285
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6106
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7042
121.7 IPS |
