iPhone 15 Pro
Geekbench AI Score
3974
Single Precision Score
6841
Half Precision Score
5615
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 10:45 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3095
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8123
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16354
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14475
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3376
268.8 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6782
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3884
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13487
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9350
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21160
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32512
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27603
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5810
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5460
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6117
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6127
105.9 IPS |
