iPhone17,2
Geekbench AI Score
4472
Single Precision Score
7672
Half Precision Score
6133
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2270
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8661
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17802
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15083
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.6 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7445
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4199
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7563
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13853
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9648
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23686
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36993
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30236
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5550
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6929
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5830
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6996
120.9 IPS |
