iPhone 16 Pro Max
Geekbench AI Score
4539
Single Precision Score
33002
Half Precision Score
44387
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 05:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
14399
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18406
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18092
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23676
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8893
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
149991
175.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
287554
337.0 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
15714
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21561
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39084
464.4 IPS |
|
|
Face Detection (Q)
|
100% |
52642
625.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8055
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94698
729.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
151561
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21510
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244154
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297264
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5411
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50429
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76100
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4038
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8963
154.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10008
173.0 IPS |
