iPhone 15 Pro
Geekbench AI Score
3842
Single Precision Score
6840
Half Precision Score
5574
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 13 2025 09:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.4 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7669
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15888
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13798
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
97% |
3299
262.6 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3767
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6793
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12637
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8873
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20822
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33105
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27352
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5294
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5061
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7322
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7286
125.9 IPS |
