iPhone 15 Pro
Geekbench AI Score
3955
Single Precision Score
6938
Half Precision Score
5695
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7933
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16446
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14312
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
97% |
3318
264.2 IPS |
|
|
Object Detection (Q)
|
94% |
2371
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6814
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3832
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6876
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12829
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9031
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21112
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33992
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27627
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5649
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7085
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7108
122.8 IPS |
