iPhone 16 Pro Max
Geekbench AI Score
6004
Single Precision Score
6932
Half Precision Score
6711
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
3039
565.2 IPS |
|
|
Image Classification (HP)
|
100% |
2382
442.9 IPS |
|
|
Image Classification (Q)
|
96% |
2864
534.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4721
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15670
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16770
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16854
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3268
259.2 IPS |
|
|
Object Detection (HP)
|
100% |
3552
281.7 IPS |
|
|
Object Detection (Q)
|
92% |
3297
263.2 IPS |
|
|
Face Detection (SP)
|
100% |
6872
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
10552
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
8459
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13281
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14795
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13874
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32688
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40039
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39441
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8105
299.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8127
300.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7533
278.1 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1203
20.8 IPS |
