iPhone 16 Pro Max
Geekbench AI Score
6051
Single Precision Score
8004
Half Precision Score
7288
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 10:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
3172
589.9 IPS |
|
|
Image Classification (HP)
|
100% |
3241
602.8 IPS |
|
|
Image Classification (Q)
|
96% |
3277
612.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4718
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14875
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17796
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17036
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3210
254.6 IPS |
|
|
Object Detection (HP)
|
100% |
3836
304.3 IPS |
|
|
Object Detection (Q)
|
91% |
3700
295.7 IPS |
|
|
Face Detection (SP)
|
100% |
7140
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
10871
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
10332
122.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12603
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15582
120.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14812
115.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31587
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40207
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38061
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7565
279.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8349
308.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6942
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6154
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6245
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2840
48.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1718
29.7 IPS |
