iPhone 15 (Black 128 GB) iPhone 15
Geekbench AI Score
3449
Single Precision Score
22547
Half Precision Score
25649
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | fanfan54 |
| Upload Date | November 17 2024 01:57 PM |
| Views | 5 |
| Notes | Black 128 GB iPhone 15 bought from the French online Apple Store on November 2024 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
10291
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12716
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15049
244.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18068
292.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6240
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
95437
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102700
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
100% |
12738
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14970
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
31468
373.9 IPS |
|
|
Face Detection (Q)
|
100% |
39913
474.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5912
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75163
579.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
96415
753.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17029
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
168380
216.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172188
222.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3939
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31944
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36933
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2342
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5586
96.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6087
105.2 IPS |
