iPhone17,2
Geekbench AI Score
1968
Single Precision Score
14646
Half Precision Score
20247
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 04:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.62 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
861
160.1 IPS |
|
|
Image Classification (HP)
|
100% |
7809
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
10236
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6620
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8422
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3943
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
62988
73.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
123008
144.2 IPS |
|
|
Object Detection (SP)
|
100% |
961
76.2 IPS |
|
|
Object Detection (HP)
|
100% |
7483
593.6 IPS |
|
|
Object Detection (Q)
|
91% |
11001
879.1 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
17618
209.3 IPS |
|
|
Face Detection (Q)
|
100% |
24120
286.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3589
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40916
315.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
70467
550.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10239
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
113690
146.2 IPS |
|
|
Style Transfer (Q)
|
96% |
141681
182.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2544
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23833
880.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36499
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2219
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4998
86.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5090
88.0 IPS |
