iPhone 15
Geekbench AI Score
3522
Single Precision Score
22925
Half Precision Score
26604
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 08:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10692
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
12795
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13555
219.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18442
299.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6629
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
97626
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103650
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
13026
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14700
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
31331
372.3 IPS |
|
|
Face Detection (Q)
|
100% |
40311
479.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6156
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74899
577.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
97617
763.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18166
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
172748
222.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172119
222.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31784
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37495
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7234
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7991
138.1 IPS |
