iPhone 15 Pro
Geekbench AI Score
3918
Single Precision Score
25431
Half Precision Score
36035
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2025 10:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1705
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
11432
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15871
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16420
266.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21227
344.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7510
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
105396
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205842
241.3 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13776
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19362
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34258
407.1 IPS |
|
|
Face Detection (Q)
|
100% |
51993
617.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6862
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78364
603.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127858
999.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20674
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207159
266.3 IPS |
|
|
Style Transfer (Q)
|
96% |
256616
331.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4752
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33812
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60251
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3517
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6677
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7607
131.5 IPS |
