iPhone 16 Pro Max
Geekbench AI Score
5941
Single Precision Score
7139
Half Precision Score
6643
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2954
549.3 IPS |
|
|
Image Classification (HP)
|
100% |
2855
530.9 IPS |
|
|
Image Classification (Q)
|
96% |
3010
562.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4895
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14902
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17837
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17144
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3032
240.5 IPS |
|
|
Object Detection (HP)
|
100% |
3677
291.7 IPS |
|
|
Object Detection (Q)
|
92% |
3162
252.4 IPS |
|
|
Face Detection (SP)
|
100% |
7039
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
10348
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
7967
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12828
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15124
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14115
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30581
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38959
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37433
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7443
274.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8173
301.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7000
258.5 IPS |
|
|
Text Classification (SP)
|
100% |
3675
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6106
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6183
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1274
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1192
20.6 IPS |
