iPhone 15 Pro
Geekbench AI Score
3777
Single Precision Score
6952
Half Precision Score
5645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 03:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1556
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
2930
545.0 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3037
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7267
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15918
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13989
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
97% |
3261
259.6 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6706
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3710
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6693
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12714
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8854
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20418
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32972
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26916
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4512
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5933
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7329
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7331
126.7 IPS |
