iPhone17,2
Geekbench AI Score
4534
Single Precision Score
32020
Half Precision Score
43638
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:08 PM |
| Views | 1 |
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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
15452
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
19814
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14684
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18280
296.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8902
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154814
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292426
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
16266
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22542
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41141
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
55371
657.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7993
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95397
735.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161119
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24306
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246872
317.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303784
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5520
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51986
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84268
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4067
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9563
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11294
195.2 IPS |
