iPhone 15
Geekbench AI Score
3099
Single Precision Score
4733
Half Precision Score
4079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.0 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.1 IPS |
|
|
Image Classification (Q)
|
96% |
1471
274.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1850
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13484
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11468
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2186
174.1 IPS |
|
|
Object Detection (Q)
|
94% |
1677
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2714
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5024
38.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
8218
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6215
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16083
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25532
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21242
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3579
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3546
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4253
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4277
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4495
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4494
77.7 IPS |
