iPhone 16 Pro Max
Geekbench AI Score
4330
Single Precision Score
32821
Half Precision Score
44560
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 09 2025 11:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
14494
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18237
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18146
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23698
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8077
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
137823
160.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
279933
328.1 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.1 IPS |
|
|
Object Detection (HP)
|
100% |
15536
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21209
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
39834
473.3 IPS |
|
|
Face Detection (Q)
|
100% |
53108
631.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7656
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93207
718.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
154436
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
19850
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244162
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294512
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5123
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50977
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77779
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6156
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9069
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10402
179.8 IPS |
