iPhone 16 Pro Max
Geekbench AI Score
4465
Single Precision Score
32843
Half Precision Score
44063
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 06:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2036
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
15292
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20083
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18098
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23865
386.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147577
172.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
289062
338.8 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
16133
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22315
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
40839
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
58096
690.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7921
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93666
721.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159898
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19124
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245028
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304253
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49740
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83693
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3569
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9730
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10572
182.7 IPS |
