iPhone 16 Pro Max
Geekbench AI Score
5711
Single Precision Score
6757
Half Precision Score
6393
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tonyiphone4 |
| Upload Date | June 13 2025 09:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2842
528.5 IPS |
|
|
Image Classification (HP)
|
100% |
2697
501.5 IPS |
|
|
Image Classification (Q)
|
96% |
3050
569.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4195
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4670
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14375
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17148
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13484
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
3037
240.9 IPS |
|
|
Object Detection (HP)
|
100% |
3400
269.7 IPS |
|
|
Object Detection (Q)
|
92% |
3110
248.3 IPS |
|
|
Face Detection (SP)
|
100% |
6680
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
10280
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
8060
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12576
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14780
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13556
105.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30576
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31559
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36540
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7316
270.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8081
298.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7189
265.4 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5791
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5785
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1150
19.9 IPS |
