iPhone 15 Pro
Geekbench AI Score
3680
Single Precision Score
26904
Half Precision Score
37015
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1541
286.6 IPS |
|
|
Image Classification (HP)
|
100% |
11431
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15882
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16433
266.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21581
349.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6734
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
102504
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
208099
243.9 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
13848
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17729
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
35156
417.7 IPS |
|
|
Face Detection (Q)
|
100% |
47120
559.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78075
601.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
122351
956.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19812
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206983
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
248951
321.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4370
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35185
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62382
2.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6699
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7350
127.0 IPS |
