iPhone17,2
Geekbench AI Score
4403
Single Precision Score
7581
Half Precision Score
6043
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3344
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8637
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17288
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14596
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2048
162.4 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4132
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7396
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13713
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9353
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22914
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36662
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29676
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5335
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6729
248.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4761
175.8 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6865
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
