iPhone 15 Pro
Geekbench AI Score
3885
Single Precision Score
6878
Half Precision Score
5611
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:50 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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3015
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7611
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13726
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.8 IPS |
|
|
Object Detection (HP)
|
97% |
3278
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2318
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6649
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3780
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6772
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12757
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8863
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20558
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33406
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27079
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4392
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5343
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7389
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7421
128.2 IPS |
