iPhone 16 Pro Max
Geekbench AI Score
4711
Single Precision Score
33073
Half Precision Score
45456
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
15169
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20294
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18347
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24013
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9441
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152746
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292385
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
16335
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22815
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
41155
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
56758
674.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8436
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95356
734.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160455
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21093
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245333
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300474
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50968
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84923
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4450
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4427
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10328
177.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11262
194.6 IPS |
