iPhone 16 Pro Max
Geekbench AI Score
4624
Single Precision Score
33019
Half Precision Score
44454
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:34 AM |
| Views | 5 |
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% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
13386
2.49 KIPS |
|
|
Image Classification (Q)
|
97% |
17277
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18140
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23646
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9424
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151975
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291524
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
15446
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21590
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
39219
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
53112
631.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95378
734.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
147889
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
22747
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244671
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295184
380.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5404
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52659
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78967
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3705
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6140
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6222
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9135
157.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10289
177.8 IPS |
