iPhone 15
Geekbench AI Score
3556
Single Precision Score
3984
Half Precision Score
3821
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mgoc |
| Upload Date | September 23 2025 03:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (HP)
|
100% |
1206
224.4 IPS |
|
|
Image Classification (Q)
|
96% |
1122
209.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2921
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2849
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11789
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12932
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12269
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.2 IPS |
|
|
Object Detection (HP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (Q)
|
92% |
1217
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
5645
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
4971
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
5218
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9262
71.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8115
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21388
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24132
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23614
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3557
131.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3409
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4740
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4750
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
860
14.9 IPS |
