iPhone 16 Pro Max
Geekbench AI Score
4633
Single Precision Score
35075
Half Precision Score
47927
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 01:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1980
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
14288
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
18884
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18110
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24057
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7048
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
148020
172.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
287947
337.5 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
15429
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
21546
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3807
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
40847
485.4 IPS |
|
|
Face Detection (Q)
|
100% |
61515
730.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7362
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95923
739.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
152165
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20097
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246038
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
294020
379.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4703
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51131
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77990
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
7155
9.55 KIPS |
|
|
Text Classification (HP)
|
99% |
10651
14.2 KIPS |
|
|
Text Classification (Q)
|
93% |
10426
14.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4003
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9084
156.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10140
175.2 IPS |
