iPhone 16 Pro Max
Geekbench AI Score
5931
Single Precision Score
7044
Half Precision Score
6753
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:14 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2980
554.1 IPS |
|
|
Image Classification (HP)
|
100% |
2609
485.1 IPS |
|
|
Image Classification (Q)
|
94% |
3090
577.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4281
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4920
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4721
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14879
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17910
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17172
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3159
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (Q)
|
90% |
3506
280.4 IPS |
|
|
Face Detection (SP)
|
100% |
7245
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
10978
130.4 IPS |
|
|
Face Detection (Q)
|
100% |
8697
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12479
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15028
115.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13912
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30655
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38378
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38001
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7309
269.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8080
298.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6799
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1182
20.4 IPS |
