iPhone 16 Pro Max
Geekbench AI Score
4408
Single Precision Score
33223
Half Precision Score
46236
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
15510
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21096
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18173
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24074
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8477
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
150377
175.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293105
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
16486
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22695
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
41143
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
58444
694.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7511
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95420
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161802
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23073
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244756
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304717
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50434
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85547
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4555
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10158
175.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11771
203.4 IPS |
