iPhone17,2
Geekbench AI Score
4568
Single Precision Score
7792
Half Precision Score
6238
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 03 2024 12:10 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9293
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18849
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15983
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4241
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7912
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14255
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9989
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24536
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37648
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30887
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5691
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6954
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3448
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5969
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7039
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
