iPhone17,2
Geekbench AI Score
4062
Single Precision Score
7206
Half Precision Score
5761
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 11 2024 03:25 PM |
| Views | 13 |
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% |
1856
345.1 IPS |
|
|
Image Classification (HP)
|
100% |
3325
618.4 IPS |
|
|
Image Classification (Q)
|
96% |
2217
414.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7595
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
13711
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13389
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1909
151.5 IPS |
|
|
Object Detection (HP)
|
97% |
3495
278.2 IPS |
|
|
Object Detection (Q)
|
94% |
2448
195.1 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
7020
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7202
55.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13061
101.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9090
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21774
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34819
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28523
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6629
244.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4642
171.4 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6022
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6536
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6588
113.8 IPS |
