iPhone17,1
Geekbench AI Score
5870
Single Precision Score
6744
Half Precision Score
6164
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | October 05 2024 08:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
97% |
2632
491.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3434
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4467
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4398
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15787
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16537
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15509
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.7 IPS |
|
|
Object Detection (HP)
|
100% |
3760
298.3 IPS |
|
|
Object Detection (Q)
|
91% |
2880
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
8298
98.6 IPS |
|
|
Face Detection (HP)
|
100% |
11275
134.0 IPS |
|
|
Face Detection (Q)
|
100% |
7725
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14118
108.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15474
119.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12096
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32943
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39167
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37326
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8056
297.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8454
312.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6987
258.0 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1080
18.7 IPS |
