iPhone 15
Geekbench AI Score
3027
Single Precision Score
4703
Half Precision Score
4027
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.1 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.5 IPS |
|
|
Image Classification (Q)
|
96% |
1451
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1799
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5489
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13230
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11397
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
97% |
2187
174.1 IPS |
|
|
Object Detection (Q)
|
94% |
1662
132.5 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (Q)
|
100% |
2683
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4790
36.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8008
61.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6082
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15512
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25073
32.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20661
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3512
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4332
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4265
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4496
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4502
77.8 IPS |
