iPhone 16 Pro Max
Geekbench AI Score
4654
Single Precision Score
35077
Half Precision Score
48409
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:28 AM |
| Views | 3 |
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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
14780
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18477
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18086
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24541
397.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7215
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
148291
173.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
289219
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
15509
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
21433
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
41354
491.4 IPS |
|
|
Face Detection (Q)
|
100% |
61866
735.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7448
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93692
721.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
157776
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
19911
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245393
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296685
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4787
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50180
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78056
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
6919
9.23 KIPS |
|
|
Text Classification (HP)
|
100% |
10742
14.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10856
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
3971
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8952
154.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10247
177.1 IPS |
