iPhone17,2
Geekbench AI Score
4575
Single Precision Score
31793
Half Precision Score
43661
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:57 AM |
| Views | 4 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
14890
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
18927
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14684
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18226
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9221
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154922
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292942
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (HP)
|
100% |
16339
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22126
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
40842
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
54595
648.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8050
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94972
731.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160696
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24502
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
247018
317.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302179
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49904
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86255
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4265
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4318
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9351
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11404
197.1 IPS |
