iPhone17,2
Geekbench AI Score
4455
Single Precision Score
7641
Half Precision Score
6088
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:42 AM |
| Views | 1 |
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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3317
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8701
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17554
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15084
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.8 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7399
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4151
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7615
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13873
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9714
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23715
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36908
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30092
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6764
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4889
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5992
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6699
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6473
111.9 IPS |
