iPhone 16 Pro Max
Geekbench AI Score
4422
Single Precision Score
4717
Half Precision Score
5062
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 11:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (Q)
|
97% |
1618
302.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3350
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3564
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4134
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9582
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9238
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12171
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
2865
227.3 IPS |
|
|
Object Detection (Q)
|
91% |
2723
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
7026
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
8189
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
7001
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12590
97.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12615
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12366
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24988
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23416
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27971
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5427
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6554
242.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6820
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4343
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
696
12.0 IPS |
