iPhone 14 Plus
Geekbench AI Score
3302
Single Precision Score
18627
Half Precision Score
21685
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
8004
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
9204
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12234
198.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13991
226.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6389
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
85790
100.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94077
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
10208
812.0 IPS |
|
|
Object Detection (Q)
|
91% |
11301
903.0 IPS |
|
|
Face Detection (SP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
25508
303.1 IPS |
|
|
Face Detection (Q)
|
100% |
31500
374.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5461
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52730
406.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
71159
556.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17615
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
152445
196.0 IPS |
|
|
Style Transfer (Q)
|
96% |
154696
199.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26257
969.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29485
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2239
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6353
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7337
126.8 IPS |
