iPhone 15 Pro
Geekbench AI Score
3970
Single Precision Score
25044
Half Precision Score
35359
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 03:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
11552
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
15096
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16371
265.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21682
351.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7947
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
106651
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
205070
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
13853
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19322
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
33975
403.7 IPS |
|
|
Face Detection (Q)
|
100% |
51943
617.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78463
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
125017
977.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21540
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202308
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
249689
322.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34406
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57273
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3243
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6569
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7823
135.2 IPS |
