iPhone 15 Pro
Geekbench AI Score
3787
Single Precision Score
6876
Half Precision Score
5645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:21 AM |
| Views | 5 |
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% |
1570
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7276
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
16173
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13798
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.6 IPS |
|
|
Object Detection (HP)
|
97% |
3290
261.9 IPS |
|
|
Object Detection (Q)
|
94% |
2318
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3811
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6771
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12748
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8920
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20677
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33046
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27375
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4546
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4392
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7442
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7390
127.7 IPS |
