iPhone 16 Pro Max
Geekbench AI Score
4455
Single Precision Score
33206
Half Precision Score
44683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1997
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
14836
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18725
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23570
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8677
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148579
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
287595
337.1 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
15502
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21214
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39643
471.0 IPS |
|
|
Face Detection (Q)
|
100% |
53466
635.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7831
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94136
725.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
150485
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20405
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244063
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296443
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5052
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51442
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77846
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9223
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10321
178.4 IPS |
