iPhone17,2
Geekbench AI Score
3902
Single Precision Score
6893
Half Precision Score
5446
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | GatorTPK |
| Upload Date | September 22 2024 02:15 AM |
| Views | 5 |
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% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8017
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16458
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14088
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1956
155.2 IPS |
|
|
Object Detection (HP)
|
97% |
3629
288.9 IPS |
|
|
Object Detection (Q)
|
94% |
2484
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5995
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3496
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6172
47.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12152
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8199
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18577
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30619
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23727
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4216
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6037
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6033
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2872
49.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5071
87.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5103
88.2 IPS |
