iPhone17,2
Geekbench AI Score
4379
Single Precision Score
7527
Half Precision Score
6022
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 12:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3327
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8160
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16975
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14509
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7272
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4070
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7381
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13391
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9358
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22501
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35834
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29346
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5320
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6912
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4826
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5798
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6924
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6955
120.2 IPS |
