iPhone 15 Pro
Geekbench AI Score
3847
Single Precision Score
24792
Half Precision Score
32734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
11482
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
14678
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15749
255.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20771
336.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7529
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
106221
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203886
239.0 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
13853
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18640
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
35160
417.8 IPS |
|
|
Face Detection (Q)
|
100% |
51303
609.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6856
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
79587
613.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
131649
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
19939
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204430
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
249197
321.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4720
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34032
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54258
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1745
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6046
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7651
132.2 IPS |
