iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4506
Single Precision Score
32454
Half Precision Score
45321
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DenKyr |
| Upload Date | October 13 2024 05:44 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
15307
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21903
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14724
238.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18337
297.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8720
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154529
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291947
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16312
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22559
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
42084
500.0 IPS |
|
|
Face Detection (Q)
|
100% |
58485
694.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7794
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95553
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161524
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23834
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245969
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301729
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5539
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50055
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85176
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4630
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9954
171.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11341
196.0 IPS |
