iPhone 16 Pro Max
Geekbench AI Score
5965
Single Precision Score
7061
Half Precision Score
6780
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:28 AM |
| Views | 5 |
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% |
2955
549.5 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
96% |
3153
588.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4221
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4911
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4732
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14899
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17807
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17551
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
3045
241.5 IPS |
|
|
Object Detection (HP)
|
100% |
3372
267.5 IPS |
|
|
Object Detection (Q)
|
92% |
3155
251.8 IPS |
|
|
Face Detection (SP)
|
100% |
7103
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
10681
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
8552
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13309
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15753
121.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13828
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31084
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40024
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39233
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7373
272.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8068
297.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6840
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6137
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6202
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1264
21.8 IPS |
