iPhone 16 Pro Max
Geekbench AI Score
4555
Single Precision Score
33263
Half Precision Score
44525
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:23 AM |
| Views | 7 |
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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
14321
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
18382
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18120
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23533
381.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8857
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151567
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
289197
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
15496
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21403
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
39784
472.7 IPS |
|
|
Face Detection (Q)
|
100% |
52203
620.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8144
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94928
731.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
148328
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
21724
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243869
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294146
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5485
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51437
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81554
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6276
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4053
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9151
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10168
175.7 IPS |
