iPhone 16 Pro Max
Geekbench AI Score
4624
Single Precision Score
33236
Half Precision Score
44600
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 12:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
14301
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
17428
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18088
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23431
379.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9346
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
151800
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290516
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
15572
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21350
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
40152
477.1 IPS |
|
|
Face Detection (Q)
|
100% |
53349
633.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94220
725.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
155339
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
23233
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244581
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295855
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51135
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79858
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6173
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4005
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9273
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10174
175.8 IPS |
