iPhone17,2
Geekbench AI Score
4357
Single Precision Score
32818
Half Precision Score
45839
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
15511
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21311
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18248
295.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24198
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8094
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
147684
172.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293502
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
16288
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22582
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
41226
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
59001
701.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7306
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95312
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160077
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22294
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245129
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302649
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49898
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85099
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4825
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9180
158.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11428
197.5 IPS |
