iPhone 16 Pro Max
Geekbench AI Score
4389
Single Precision Score
33016
Half Precision Score
44425
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 09 2026 04:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
14422
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18515
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18067
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23635
383.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
143685
167.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
285728
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
15604
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21062
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
40020
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
53214
632.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7762
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93634
721.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
152658
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20240
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244628
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294529
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50601
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76315
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6192
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6167
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4022
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9174
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10098
174.5 IPS |
