iPhone17,1
Geekbench AI Score
5869
Single Precision Score
6838
Half Precision Score
6011
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2955
549.5 IPS |
|
|
Image Classification (HP)
|
100% |
2731
508.0 IPS |
|
|
Image Classification (Q)
|
97% |
2952
550.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3565
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4497
72.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4449
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15845
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16556
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15686
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3397
269.5 IPS |
|
|
Object Detection (HP)
|
100% |
3797
301.2 IPS |
|
|
Object Detection (Q)
|
91% |
2933
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
7940
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
10940
130.0 IPS |
|
|
Face Detection (Q)
|
100% |
7324
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13763
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14495
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12167
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33102
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39668
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36464
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8139
300.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8381
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6920
255.5 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
777
13.4 IPS |
