iPhone 15 Pro
Geekbench AI Score
4979
Single Precision Score
5918
Half Precision Score
5303
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:44 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% |
1792
333.2 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (Q)
|
97% |
1858
346.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3951
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4008
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15115
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15887
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14705
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2617
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
2864
227.2 IPS |
|
|
Object Detection (Q)
|
91% |
2468
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
6440
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
9025
107.2 IPS |
|
|
Face Detection (Q)
|
100% |
6365
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11672
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12611
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10807
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29970
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34787
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33734
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6426
237.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6666
246.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5523
203.9 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
930
16.1 IPS |
