iPhone17,2
Geekbench AI Score
4352
Single Precision Score
7609
Half Precision Score
6043
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | markbyrn |
| Upload Date | September 27 2024 02:38 PM |
| Views | 4 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.3 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8039
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16947
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14203
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2043
162.1 IPS |
|
|
Object Detection (HP)
|
97% |
3708
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7297
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4028
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7411
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13361
103.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9529
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22816
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36359
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29361
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6925
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4907
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6045
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7081
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
