iPhone 15 Pro
Geekbench AI Score
5007
Single Precision Score
5963
Half Precision Score
5266
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:05 PM |
| Views | 7 |
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% |
1900
353.4 IPS |
|
|
Image Classification (HP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (Q)
|
97% |
1771
330.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3182
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3900
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3996
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15097
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15945
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15118
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
2976
236.0 IPS |
|
|
Object Detection (Q)
|
91% |
2285
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
6855
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
9614
114.2 IPS |
|
|
Face Detection (Q)
|
100% |
6728
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12081
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12602
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10864
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29575
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34658
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33776
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6238
230.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6712
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5200
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.5 IPS |
