iPhone 16 Pro Max
Geekbench AI Score
4668
Single Precision Score
33112
Half Precision Score
44628
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
13715
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
17914
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18088
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23663
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9488
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152193
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291254
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
15431
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21005
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
40200
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
54123
643.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94175
725.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
152278
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244583
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294017
379.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51358
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78894
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6291
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6178
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9092
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10232
176.8 IPS |
