iPhone 16 Pro Max
Geekbench AI Score
4483
Single Precision Score
33349
Half Precision Score
44944
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 03:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
14643
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
19112
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18083
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23657
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8646
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
149412
174.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
288555
338.2 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
15496
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21173
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
39634
470.9 IPS |
|
|
Face Detection (Q)
|
100% |
53088
630.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8046
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95715
737.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
157820
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21260
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244218
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296794
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51521
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78952
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6301
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4018
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9229
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10209
176.4 IPS |
