iPhone 15
Geekbench AI Score
3577
Single Precision Score
3800
Half Precision Score
3722
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Deeepy |
| Upload Date | June 05 2025 06:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
825
153.4 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.4 IPS |
|
|
Image Classification (Q)
|
96% |
1143
213.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2812
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11812
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12873
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12464
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (Q)
|
92% |
1237
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4845
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
4286
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8905
68.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8256
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21185
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23750
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23162
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3233
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
827
14.3 IPS |
