iPhone17,1
Geekbench AI Score
5742
Single Precision Score
6553
Half Precision Score
5971
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | zxhsean |
| Upload Date | December 03 2024 08:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2822
524.8 IPS |
|
|
Image Classification (HP)
|
100% |
2257
419.8 IPS |
|
|
Image Classification (Q)
|
97% |
2742
511.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4491
72.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4334
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15813
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16532
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15599
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3181
252.3 IPS |
|
|
Object Detection (HP)
|
100% |
3553
281.8 IPS |
|
|
Object Detection (Q)
|
91% |
2885
230.6 IPS |
|
|
Face Detection (SP)
|
100% |
7753
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
10932
129.9 IPS |
|
|
Face Detection (Q)
|
100% |
7260
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13313
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14596
112.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12756
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33334
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39674
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36415
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8020
296.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8334
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6990
258.1 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5807
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5678
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
806
13.9 IPS |
