iPhone 15 Pro
Geekbench AI Score
3957
Single Precision Score
6954
Half Precision Score
5688
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:29 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% |
1673
311.1 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8111
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
16447
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14050
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
3278
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6739
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3843
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6923
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12805
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8993
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21399
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34010
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28159
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4389
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5418
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7447
128.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7466
129.0 IPS |
