iPhone17,2
Geekbench AI Score
4278
Single Precision Score
7456
Half Precision Score
5933
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:02 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% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3268
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7973
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
16483
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13997
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
97% |
3740
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2561
204.1 IPS |
|
|
Face Detection (SP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
7011
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3914
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7097
54.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13088
101.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9135
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22084
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35301
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28880
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6738
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4764
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6010
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3699
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6879
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6926
119.7 IPS |
