iPhone 15 Pro
Geekbench AI Score
4966
Single Precision Score
5776
Half Precision Score
5211
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:31 AM |
| Views | 3 |
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% |
1834
341.0 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.1 IPS |
|
|
Image Classification (Q)
|
97% |
1830
341.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3100
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3968
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3958
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15145
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15861
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14591
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.1 IPS |
|
|
Object Detection (HP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (Q)
|
91% |
2344
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
6643
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
8868
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
6336
75.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11774
90.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12739
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10313
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29334
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34739
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31976
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6396
236.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6669
246.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5638
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
951
16.4 IPS |
