iPhone17,1
Geekbench AI Score
5873
Single Precision Score
6800
Half Precision Score
6078
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:12 AM |
| 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% |
3088
574.2 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.4 IPS |
|
|
Image Classification (Q)
|
97% |
2877
537.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3612
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4407
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15814
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16572
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15604
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3216
255.1 IPS |
|
|
Object Detection (HP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (Q)
|
91% |
2877
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
7923
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
10739
127.6 IPS |
|
|
Face Detection (Q)
|
100% |
7202
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13452
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14469
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12723
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32851
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39716
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35545
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8108
299.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8451
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6854
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6031
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
918
15.9 IPS |
