iPhone 16 Pro Max
Geekbench AI Score
4528
Single Precision Score
33101
Half Precision Score
46473
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 09:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| 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% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
15625
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21488
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18196
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23995
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8846
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153669
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293051
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
16172
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22571
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57716
685.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7885
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95137
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160440
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24180
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245730
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301468
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51265
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86715
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5011
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9260
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11359
196.3 IPS |
