iPhone 16 Pro Max
Geekbench AI Score
6561
Single Precision Score
7876
Half Precision Score
7620
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 09 2026 04:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
3129
581.9 IPS |
|
|
Image Classification (HP)
|
100% |
3257
605.7 IPS |
|
|
Image Classification (Q)
|
96% |
3261
609.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4686
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14718
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17929
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17206
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3107
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
3620
287.2 IPS |
|
|
Object Detection (Q)
|
91% |
3724
297.7 IPS |
|
|
Face Detection (SP)
|
100% |
6714
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
10727
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
10369
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12747
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15285
117.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14420
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31987
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40838
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38489
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7575
279.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8398
310.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7221
266.6 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6077
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2670
46.1 IPS |
