iPhone17,1
Geekbench AI Score
5883
Single Precision Score
6785
Half Precision Score
6126
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:37 PM |
| Views | 1 |
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% |
3043
565.9 IPS |
|
|
Image Classification (HP)
|
100% |
2750
511.5 IPS |
|
|
Image Classification (Q)
|
97% |
2964
553.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3585
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4448
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15941
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16531
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15629
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3227
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
3503
277.8 IPS |
|
|
Object Detection (Q)
|
91% |
2925
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
8111
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
10806
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7242
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13555
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14571
112.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12667
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33217
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39698
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36683
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8175
301.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8511
314.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6879
254.0 IPS |
|
|
Text Classification (SP)
|
100% |
3448
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6056
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5997
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
891
15.4 IPS |
