iPhone 15
Geekbench AI Score
3106
Single Precision Score
4751
Half Precision Score
4090
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1822
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5606
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
13297
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11356
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
97% |
2212
176.1 IPS |
|
|
Object Detection (Q)
|
94% |
1683
134.2 IPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2752
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5100
39.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8366
64.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6244
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16300
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25532
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21487
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3562
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3607
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4255
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2750
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4532
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4537
78.4 IPS |
