iPhone17,2
Geekbench AI Score
4490
Single Precision Score
7750
Half Precision Score
6158
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Chally3411 |
| Upload Date | October 03 2024 12:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.9 IPS |
|
|
Image Classification (Q)
|
96% |
2253
420.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8770
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17977
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15105
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7451
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7706
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14143
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9699
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23615
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37363
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30673
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5548
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6885
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5986
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7042
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6963
120.3 IPS |
