iPhone 15
Geekbench AI Score
3123
Single Precision Score
3371
Half Precision Score
3100
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 23 2025 10:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
855
159.1 IPS |
|
|
Image Classification (HP)
|
100% |
812
151.0 IPS |
|
|
Image Classification (Q)
|
97% |
654
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12072
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12615
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11766
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (Q)
|
91% |
1274
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
4397
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4779
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
4230
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8599
66.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7147
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21430
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23386
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22329
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3479
128.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3465
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3035
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4687
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4707
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
98% |
353
6.09 IPS |
