iPhone17,1
Geekbench AI Score
4531
Single Precision Score
7757
Half Precision Score
6189
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.7 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8986
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18383
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15508
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2126
168.6 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7514
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4152
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7703
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14081
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9770
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23935
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37619
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30641
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6841
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4963
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6004
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7097
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7084
122.4 IPS |
