iPhone 15 Pro
Geekbench AI Score
1379
Single Precision Score
9052
Half Precision Score
11111
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jakeky |
| Upload Date | August 18 2024 08:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
6150
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
6901
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4546
73.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
4913
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
32032
37.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
63826
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
100% |
6148
487.7 IPS |
|
|
Object Detection (Q)
|
93% |
7196
574.2 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
9978
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1864
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25449
196.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
30930
239.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3886
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
67789
87.1 IPS |
|
|
Style Transfer (Q)
|
100% |
95502
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18566
685.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15516
574.8 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
71% |
2801
4.03 KIPS |
|
|
Text Classification (Q)
|
69% |
2943
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1369
23.7 IPS |
