iPhone 16 Pro Max
Geekbench AI Score
4733
Single Precision Score
32827
Half Precision Score
45220
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RobertRgs |
| Upload Date | September 03 2025 05:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
15185
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20297
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18312
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23956
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9744
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153621
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292352
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
16240
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22539
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
39682
471.5 IPS |
|
|
Face Detection (Q)
|
100% |
56488
671.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8436
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95232
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
158984
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21616
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246076
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303321
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51450
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84474
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4366
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4362
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10030
172.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11119
192.2 IPS |
