iPhone 16 Pro Max
Geekbench AI Score
4695
Single Precision Score
33294
Half Precision Score
45557
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:05 AM |
| Views | 4 |
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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
15262
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19517
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18315
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24136
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9537
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153769
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292783
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
16293
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22637
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41194
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58351
693.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95337
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160411
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21154
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245752
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302950
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5618
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51040
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84735
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3390
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4704
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4388
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4226
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10315
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11699
202.2 IPS |
