iPhone17,2
Geekbench AI Score
4515
Single Precision Score
32222
Half Precision Score
44352
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 12 2024 07:07 PM |
| Views | 33 |
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% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
15669
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20981
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14688
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18235
295.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154796
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291852
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (HP)
|
100% |
16342
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22675
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41114
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
55991
665.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7842
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95287
734.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161246
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23991
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246606
317.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302939
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5672
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51958
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85240
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4364
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4346
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9461
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11483
198.4 IPS |
