iPhone 15 Pro
Geekbench AI Score
3977
Single Precision Score
6840
Half Precision Score
5627
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
2913
541.7 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8086
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
16445
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14432
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
3390
269.9 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13524
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9355
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21272
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32559
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27315
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5832
215.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6045
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6123
105.8 IPS |
