iPhone17,2
Geekbench AI Score
3888
Single Precision Score
7012
Half Precision Score
5485
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:28 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1798
334.4 IPS |
|
|
Image Classification (HP)
|
100% |
3277
609.4 IPS |
|
|
Image Classification (Q)
|
96% |
2213
413.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2758
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3125
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7251
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
15705
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10668
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3307
263.3 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
6239
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3672
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6724
51.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12980
100.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8839
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33881
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28014
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4735
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6484
239.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4587
169.4 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5840
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5752
99.4 IPS |
