iPhone 16 Pro Max
Geekbench AI Score
4633
Single Precision Score
32935
Half Precision Score
45551
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
15558
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20165
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18292
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24294
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9418
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153653
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292917
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
16196
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22570
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3926
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
41137
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
57451
682.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94876
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159516
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20714
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245491
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301293
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50057
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84943
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4407
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4490
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10033
172.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11277
194.9 IPS |
