iPhone 15
Geekbench AI Score
3492
Single Precision Score
23748
Half Precision Score
27022
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 23 2025 10:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1440
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
10606
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
12720
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14681
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18189
294.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6339
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
98039
114.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
101840
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
12758
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14813
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
31098
369.5 IPS |
|
|
Face Detection (Q)
|
100% |
39651
471.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75929
585.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
97403
761.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17503
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
178229
229.1 IPS |
|
|
Style Transfer (Q)
|
96% |
178239
230.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31965
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39585
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2623
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7596
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8323
143.8 IPS |
