iPhone 16 Pro iPhone17,1
Geekbench AI Score
5792
Single Precision Score
6761
Half Precision Score
6105
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Auhim |
| Upload Date | September 21 2024 09:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3094
575.4 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.6 IPS |
|
|
Image Classification (Q)
|
97% |
2636
491.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4351
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15772
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16369
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15265
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (HP)
|
100% |
3451
273.8 IPS |
|
|
Object Detection (Q)
|
91% |
2902
231.9 IPS |
|
|
Face Detection (SP)
|
100% |
7611
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10662
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
7462
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13484
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14900
114.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11504
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32858
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39567
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35219
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8128
300.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8424
311.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6865
253.5 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1175
20.3 IPS |
