iPhone 15
Geekbench AI Score
3366
Single Precision Score
5866
Half Precision Score
4706
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 04:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.4 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6093
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
13383
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11343
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
97% |
2827
225.1 IPS |
|
|
Object Detection (Q)
|
94% |
1971
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5936
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3268
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11687
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7769
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17125
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26430
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22007
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2593
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4586
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4602
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5692
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5755
99.5 IPS |
