iPhone 16 Pro Max
Geekbench AI Score
4528
Single Precision Score
32733
Half Precision Score
44371
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | deryk527 |
| Upload Date | March 30 2025 03:58 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
15158
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20671
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18314
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24069
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8832
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
148802
173.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291387
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
16360
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22425
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3850
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
41139
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
58083
690.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7959
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95353
734.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159728
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19249
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244904
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
308650
398.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49946
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83462
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4327
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3527
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10065
173.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10794
186.5 IPS |
