iPhone 16 Pro Max
Geekbench AI Score
4436
Single Precision Score
32739
Half Precision Score
45794
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | moowriece |
| Upload Date | December 08 2024 10:33 PM |
| Views | 11 |
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% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
15403
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21396
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24046
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8341
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
151276
176.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292903
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
16259
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22454
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41190
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58298
692.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7564
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95115
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160550
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22791
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246078
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302642
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5485
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51078
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84996
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4397
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4370
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9417
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11395
196.9 IPS |
