iPhone 16 Pro Max
Geekbench AI Score
4721
Single Precision Score
32998
Half Precision Score
45596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
15139
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19013
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18328
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24107
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9779
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153680
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292960
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
16316
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22647
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41222
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
60351
717.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95234
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159717
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21391
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245854
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303431
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50518
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84588
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4375
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4431
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4216
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10315
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11653
201.4 IPS |
