iPhone 16 Pro Max
Geekbench AI Score
4485
Single Precision Score
32987
Half Precision Score
44817
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
14513
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18969
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18074
293.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23637
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8780
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
145092
169.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
289224
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
15484
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21416
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39614
470.7 IPS |
|
|
Face Detection (Q)
|
100% |
52437
623.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7933
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94256
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
151371
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20771
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
243741
313.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293747
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5182
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50433
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78562
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6149
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6260
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9174
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10266
177.4 IPS |
