iPhone 15 Pro
Geekbench AI Score
4163
Single Precision Score
4626
Half Precision Score
1624
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1814
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
1668
310.1 IPS |
|
|
Image Classification (Q)
|
97% |
1801
336.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3241
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3890
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3979
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14599
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15563
18.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
14676
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (Q)
|
92% |
2214
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
9165
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
6533
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12139
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13286
102.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27941
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33636
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34133
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6463
238.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5230
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.0 IPS |
|
|
Text Classification (HP)
|
100% |
497
663.0 IPS |
|
|
Text Classification (Q)
|
93% |
303
406.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1552
26.8 IPS |
