iPhone 15 Pro
Geekbench AI Score
5000
Single Precision Score
5842
Half Precision Score
5279
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:09 PM |
| 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% |
2033
378.0 IPS |
|
|
Image Classification (HP)
|
100% |
1784
331.7 IPS |
|
|
Image Classification (Q)
|
97% |
1874
349.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3948
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4004
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15898
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15070
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (Q)
|
91% |
2395
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
6602
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
8983
106.7 IPS |
|
|
Face Detection (Q)
|
100% |
6391
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11757
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12843
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10864
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29803
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35965
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34235
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6467
238.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6806
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5286
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
891
15.4 IPS |
