iPhone 16 Pro Max
Geekbench AI Score
3039
Single Precision Score
3724
Half Precision Score
3513
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | macaddict10 |
| Upload Date | September 06 2025 03:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
928
172.7 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (Q)
|
96% |
1167
217.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3507
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
7483
8.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
7736
9.06 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
1312
104.0 IPS |
|
|
Object Detection (Q)
|
92% |
1356
108.2 IPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
7253
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
3860
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6320
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7317
56.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7318
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15693
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24678
31.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24297
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3153
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2586
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2574
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
