iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
5787
Single Precision Score
6892
Half Precision Score
6067
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 12 2024 10:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2967
551.8 IPS |
|
|
Image Classification (HP)
|
100% |
2987
555.4 IPS |
|
|
Image Classification (Q)
|
97% |
2900
541.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3374
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4409
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15806
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16549
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15650
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3196
253.5 IPS |
|
|
Object Detection (HP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (Q)
|
91% |
2843
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
7679
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
10699
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
7146
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13426
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14457
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12459
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33107
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39669
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35736
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8075
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8476
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6864
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
934
16.1 IPS |
