iPhone 15 Pro
Geekbench AI Score
3895
Single Precision Score
6794
Half Precision Score
5562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 11:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (HP)
|
100% |
2906
540.4 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3100
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7728
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15905
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13965
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
3353
266.9 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6827
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3861
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6890
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13359
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9169
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20819
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32044
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26815
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4352
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6124
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6096
105.3 IPS |
