iPhone 16 Pro Max
Geekbench AI Score
4695
Single Precision Score
35092
Half Precision Score
47747
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:52 AM |
| Views | 6 |
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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
13944
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
18147
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24354
394.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7314
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
153038
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288623
338.3 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
15393
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
21480
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
41591
494.2 IPS |
|
|
Face Detection (Q)
|
100% |
60410
717.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7663
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93954
723.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
151260
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20279
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
246131
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294148
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50705
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78379
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
7110
9.49 KIPS |
|
|
Text Classification (HP)
|
100% |
10514
14.0 KIPS |
|
|
Text Classification (Q)
|
92% |
10467
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9283
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10195
176.2 IPS |
