iPhone 15 Pro
Geekbench AI Score
3771
Single Precision Score
6902
Half Precision Score
5657
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.7 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7192
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16156
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13740
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.4 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6778
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3827
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6769
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12778
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9003
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20376
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33278
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27335
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4569
168.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5702
210.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4351
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7411
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7340
126.8 IPS |
