iPhone 15 Pro
Geekbench AI Score
5012
Single Precision Score
6126
Half Precision Score
5740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1885
350.6 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (Q)
|
96% |
2076
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3775
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4078
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13192
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15050
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14532
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (Q)
|
92% |
2457
196.1 IPS |
|
|
Face Detection (SP)
|
100% |
6547
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
8786
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
7204
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10663
82.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12280
94.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11425
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27182
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32708
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32691
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6226
229.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5593
206.5 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5694
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1501
25.9 IPS |
