iPhone 15
Geekbench AI Score
3753
Single Precision Score
3975
Half Precision Score
3789
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (Q)
|
96% |
1179
220.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2820
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11833
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12863
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12492
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (Q)
|
92% |
1304
104.1 IPS |
|
|
Face Detection (SP)
|
100% |
5655
67.2 IPS |
|
|
Face Detection (HP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8275
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9077
69.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8403
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21234
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23721
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23572
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4881
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4820
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
812
14.0 IPS |
