iPhone 16 Pro Max
Geekbench AI Score
4602
Single Precision Score
33028
Half Precision Score
46099
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 29 2025 04:13 PM |
| Views | 3 |
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% |
2060
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
14904
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
20814
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18285
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24172
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9032
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153733
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292619
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
16269
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22685
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
40719
483.8 IPS |
|
|
Face Detection (Q)
|
100% |
59901
711.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8091
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95199
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163560
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
19854
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245774
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302838
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50631
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83869
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4507
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10309
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11573
200.0 IPS |
