iPhone 15 Pro
Geekbench AI Score
4966
Single Precision Score
5973
Half Precision Score
5351
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 01:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2221
413.1 IPS |
|
|
Image Classification (HP)
|
100% |
2463
458.0 IPS |
|
|
Image Classification (Q)
|
97% |
2132
397.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3722
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3755
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12133
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13090
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11977
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
2993
237.4 IPS |
|
|
Object Detection (Q)
|
91% |
2364
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
8485
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
6091
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10957
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11916
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10277
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27167
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30296
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30405
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6144
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6468
238.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1452
25.1 IPS |
