iPhone 16 Pro Max
Geekbench AI Score
5943
Single Precision Score
6964
Half Precision Score
6691
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 07:48 PM |
| Views | 3 |
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% |
2973
552.8 IPS |
|
|
Image Classification (HP)
|
100% |
2839
527.9 IPS |
|
|
Image Classification (Q)
|
96% |
3172
592.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4291
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4758
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14989
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18141
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17196
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3047
241.7 IPS |
|
|
Object Detection (HP)
|
100% |
3394
269.2 IPS |
|
|
Object Detection (Q)
|
92% |
3177
253.6 IPS |
|
|
Face Detection (SP)
|
100% |
7041
83.7 IPS |
|
|
Face Detection (HP)
|
100% |
10500
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
8041
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12817
98.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15490
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13973
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31009
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39245
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37633
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7324
270.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6595
243.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6876
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6271
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6227
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1205
20.8 IPS |
