iPhone17,2
Geekbench AI Score
4479
Single Precision Score
7719
Half Precision Score
6139
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | hass |
| Upload Date | September 22 2024 11:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.6 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8938
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18380
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15331
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2081
165.0 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2632
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7376
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7647
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14152
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9740
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23835
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37371
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30260
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5500
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6903
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6982
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7028
121.5 IPS |
