iPhone 16 Pro Max
Geekbench AI Score
6074
Single Precision Score
6905
Half Precision Score
6712
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 11:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2990
556.0 IPS |
|
|
Image Classification (HP)
|
100% |
2819
524.3 IPS |
|
|
Image Classification (Q)
|
96% |
3026
565.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4644
75.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4684
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15094
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15541
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16454
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
3311
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
3365
266.9 IPS |
|
|
Object Detection (Q)
|
92% |
3377
269.6 IPS |
|
|
Face Detection (SP)
|
100% |
7432
88.3 IPS |
|
|
Face Detection (HP)
|
100% |
10555
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
8346
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13302
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15080
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13746
107.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32366
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37754
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37284
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7976
294.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8170
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7538
278.3 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1247
21.5 IPS |
