iPhone 15 Pro
Geekbench AI Score
5076
Single Precision Score
5955
Half Precision Score
5429
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 12:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1960
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3658
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4103
66.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4028
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13263
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14422
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14213
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (Q)
|
92% |
2418
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
6591
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
9204
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
7296
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11520
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12697
97.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11760
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27573
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31969
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31029
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5035
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5819
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5654
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1356
23.4 IPS |
