iPhone 15 (Black 128 GB) iPhone 15
Geekbench AI Score
3386
Single Precision Score
5897
Half Precision Score
4736
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | fanfan54 |
| Upload Date | November 17 2024 01:47 PM |
| Views | 8 |
| Notes | Black 128 GB iPhone 15 bought from the French online Apple Store on November 2024 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.9 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6168
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13471
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11385
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5910
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3304
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5699
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11840
91.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7776
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16969
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26950
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21967
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4585
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4594
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5731
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5705
98.6 IPS |
