iPhone 16 Pro Max
Geekbench AI Score
5984
Single Precision Score
6868
Half Precision Score
6690
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3013
560.2 IPS |
|
|
Image Classification (HP)
|
100% |
1964
365.2 IPS |
|
|
Image Classification (Q)
|
94% |
3050
570.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4186
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4862
78.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4704
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14733
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17745
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17224
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3157
250.4 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.8 IPS |
|
|
Object Detection (Q)
|
90% |
3283
262.5 IPS |
|
|
Face Detection (SP)
|
100% |
7514
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
11229
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
8482
100.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13255
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15909
122.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13866
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31023
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39253
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39135
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7236
267.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7886
291.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6855
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6087
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6017
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1167
20.2 IPS |
