iPhone 16 Pro Max
Geekbench AI Score
6067
Single Precision Score
7039
Half Precision Score
6687
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 11:48 PM |
| 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% |
3030
563.5 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
96% |
3104
579.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4363
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4872
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4695
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15531
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16792
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16624
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3435
272.5 IPS |
|
|
Object Detection (Q)
|
92% |
3132
250.0 IPS |
|
|
Face Detection (SP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
10569
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
8192
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13335
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14768
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13827
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32705
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38202
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38688
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7914
292.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8173
301.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7456
275.3 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5871
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1236
21.4 IPS |
