iPhone 15 Pro
Geekbench AI Score
4996
Single Precision Score
5924
Half Precision Score
5227
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1818
338.2 IPS |
|
|
Image Classification (HP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (Q)
|
97% |
1749
326.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3079
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3944
63.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4026
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15184
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15993
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15047
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
2816
223.3 IPS |
|
|
Object Detection (Q)
|
91% |
2371
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
9123
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
6437
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11611
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13202
101.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10896
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30308
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35564
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32638
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6303
232.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6734
248.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5255
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
919
15.9 IPS |
