iPhone 15 Pro
Geekbench AI Score
4015
Single Precision Score
7008
Half Precision Score
5664
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
2947
548.0 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3099
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7960
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
16174
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13989
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3359
267.4 IPS |
|
|
Object Detection (Q)
|
94% |
2391
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3880
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7051
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13509
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9274
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21421
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33625
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27901
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4903
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6240
230.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4515
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3300
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6287
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6335
109.5 IPS |
