iPhone17,2
Geekbench AI Score
4414
Single Precision Score
7621
Half Precision Score
6078
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:04 PM |
| Views | 1 |
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% |
2002
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8487
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
17289
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14883
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2067
163.9 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
7263
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4080
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7448
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13996
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9531
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23265
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36854
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29997
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5393
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6858
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7032
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6939
119.9 IPS |
