iPhone 16 Pro Max
Geekbench AI Score
6088
Single Precision Score
7065
Half Precision Score
6747
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 10:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2887
536.9 IPS |
|
|
Image Classification (HP)
|
100% |
2880
535.5 IPS |
|
|
Image Classification (Q)
|
96% |
3041
567.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4942
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4781
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15600
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16358
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15934
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3167
251.2 IPS |
|
|
Object Detection (HP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (Q)
|
92% |
3433
274.0 IPS |
|
|
Face Detection (SP)
|
100% |
7672
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
10751
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
8593
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13499
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14654
112.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13581
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33006
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39361
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37567
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8035
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8475
312.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7581
279.9 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5948
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
