iPhone 16 Pro Max
Geekbench AI Score
4687
Single Precision Score
35128
Half Precision Score
47948
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
14308
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
17613
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18124
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24185
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7249
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
153769
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
289875
339.8 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
15390
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
21498
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3877
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
41061
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
60875
723.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7686
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95340
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
154030
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20093
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246050
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293484
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51276
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79368
2.93 KIPS |
|
|
Text Classification (SP)
|
99% |
6947
9.27 KIPS |
|
|
Text Classification (HP)
|
100% |
10425
13.9 KIPS |
|
|
Text Classification (Q)
|
92% |
10734
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9056
156.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10322
178.4 IPS |
