iPhone 16 Pro Max
Geekbench AI Score
4484
Single Precision Score
33268
Half Precision Score
44480
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:25 AM |
| Views | 4 |
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
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
14459
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
18394
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18089
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23681
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8638
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148427
173.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
286040
335.3 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
15635
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21271
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39461
468.9 IPS |
|
|
Face Detection (Q)
|
100% |
53057
630.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7990
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95295
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
149917
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
21270
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244182
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294785
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52152
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78021
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6262
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4035
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9126
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10274
177.5 IPS |
