iPhone 15
Geekbench AI Score
3198
Single Precision Score
3468
Half Precision Score
3173
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 03:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
720
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.3 IPS |
|
|
Image Classification (Q)
|
97% |
945
176.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11723
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12392
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11513
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (Q)
|
91% |
1205
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
5346
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (Q)
|
100% |
3911
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8412
64.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7146
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21017
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23007
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21511
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3845
142.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2982
110.1 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4591
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4650
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
98% |
384
6.64 IPS |
