iPhone17,2
Geekbench AI Score
4553
Single Precision Score
32354
Half Precision Score
45052
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | September 22 2024 05:53 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1966
365.6 IPS |
|
|
Image Classification (HP)
|
100% |
15099
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
21506
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14661
237.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18234
295.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8874
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154515
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292652
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
16122
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22415
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
40952
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
55376
658.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8026
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95255
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161297
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24416
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246409
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300699
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51096
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86597
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4649
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5057
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9984
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11386
196.8 IPS |
