iPhone17,2
Geekbench AI Score
4359
Single Precision Score
32148
Half Precision Score
44766
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pers1 |
| Upload Date | October 12 2024 07:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1951
362.8 IPS |
|
|
Image Classification (HP)
|
100% |
15467
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20716
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14611
236.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18003
291.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8283
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
149853
174.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290576
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
100% |
16312
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22735
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
41796
496.6 IPS |
|
|
Face Detection (Q)
|
100% |
58407
694.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7455
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95341
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160716
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22731
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245511
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304649
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50774
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85812
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4594
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9355
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11311
195.5 IPS |
