iPhone 15
Geekbench AI Score
3464
Single Precision Score
6024
Half Precision Score
4863
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | synt4x93 |
| Upload Date | March 02 2025 09:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.6 IPS |
|
|
Image Classification (Q)
|
96% |
1758
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2706
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6428
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14042
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11847
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2900
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6150
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3435
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5849
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12013
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8073
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17820
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27542
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22903
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4700
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4671
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5856
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5878
101.6 IPS |
