iPhone17,2
Geekbench AI Score
4383
Single Precision Score
7604
Half Precision Score
6060
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Graeme Stewart |
| Upload Date | September 23 2024 04:24 PM |
| Views | 10 |
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% |
1960
364.5 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8433
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17454
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14789
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2053
162.9 IPS |
|
|
Object Detection (HP)
|
97% |
3716
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7177
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7498
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13872
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9783
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23118
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37053
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30011
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5797
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5753
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6924
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6935
119.8 IPS |
