iPhone17,2
Geekbench AI Score
4084
Single Precision Score
7225
Half Precision Score
5770
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aunali1 |
| Upload Date | October 22 2024 08:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1860
345.9 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.8 IPS |
|
|
Image Classification (Q)
|
96% |
2230
416.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3264
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7720
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
16269
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14053
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
97% |
3580
285.0 IPS |
|
|
Object Detection (Q)
|
94% |
2486
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6487
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3732
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6918
53.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12986
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9000
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21147
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34649
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28229
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6771
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4690
173.2 IPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5954
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6090
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6145
106.2 IPS |
