[iOS 18.2 beta 3] iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
5773
Single Precision Score
6830
Half Precision Score
6106
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | November 13 2024 03:44 PM |
| Views | 69 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2941
546.9 IPS |
|
|
Image Classification (HP)
|
100% |
2588
481.3 IPS |
|
|
Image Classification (Q)
|
97% |
2952
551.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3345
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4459
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4432
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15803
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16494
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15710
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3276
259.8 IPS |
|
|
Object Detection (HP)
|
100% |
3745
297.1 IPS |
|
|
Object Detection (Q)
|
91% |
2937
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
7739
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
10794
128.3 IPS |
|
|
Face Detection (Q)
|
100% |
7206
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13523
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15048
115.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12694
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33362
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39572
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36403
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8093
298.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8493
313.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6890
254.4 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5781
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
901
15.6 IPS |
