iPhone 16 Pro Max
Geekbench AI Score
7025
Single Precision Score
8529
Half Precision Score
7663
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 01:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
3146
585.0 IPS |
|
|
Image Classification (HP)
|
100% |
3214
597.8 IPS |
|
|
Image Classification (Q)
|
96% |
3243
605.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4193
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4882
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4671
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14679
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17679
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17057
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3187
252.8 IPS |
|
|
Object Detection (HP)
|
100% |
3510
278.4 IPS |
|
|
Object Detection (Q)
|
91% |
3602
287.9 IPS |
|
|
Face Detection (SP)
|
100% |
7176
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
10914
129.7 IPS |
|
|
Face Detection (Q)
|
100% |
10341
122.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12713
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15325
118.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14353
112.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31413
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40284
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38093
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7474
276.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8329
307.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7242
267.4 IPS |
|
|
Text Classification (SP)
|
100% |
6994
9.34 KIPS |
|
|
Text Classification (HP)
|
100% |
10952
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10451
14.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1755
30.3 IPS |
