iPhone 16 Pro Max
Geekbench AI Score
4458
Single Precision Score
33481
Half Precision Score
45468
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:57 PM |
| Views | 6 |
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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
14184
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
18267
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18123
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23565
382.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
144998
169.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
288412
338.0 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
15576
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21481
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39044
463.9 IPS |
|
|
Face Detection (Q)
|
100% |
52514
624.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93452
720.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
147780
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
20539
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244149
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295967
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50497
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77978
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6153
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4004
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11018
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12563
217.1 IPS |
