iPhone 15 Pro
Geekbench AI Score
3959
Single Precision Score
6842
Half Precision Score
5595
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:29 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% |
1659
308.6 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.5 IPS |
|
|
Image Classification (Q)
|
96% |
2003
374.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8076
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16415
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14164
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
97% |
3368
268.1 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3870
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7139
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13567
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9281
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21251
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32485
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27775
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4423
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6168
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6131
105.9 IPS |
