iPhone 15 Pro
Geekbench AI Score
3955
Single Precision Score
6940
Half Precision Score
5702
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 01:51 AM |
| Views | 4 |
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% |
1661
308.8 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.6 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8160
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16572
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14453
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
97% |
3295
262.4 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3817
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6970
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12748
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8994
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21447
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34172
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28035
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4384
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7412
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7481
129.3 IPS |
