iPhone 16 Pro Max
Geekbench AI Score
4492
Single Precision Score
32821
Half Precision Score
45037
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 15 2025 04:01 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
15413
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
19475
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18236
295.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23993
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8796
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153812
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291532
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
16119
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22234
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
40001
475.3 IPS |
|
|
Face Detection (Q)
|
100% |
57448
682.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7744
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94483
727.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160498
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23307
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244996
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301451
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5615
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50272
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82469
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4866
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4422
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9192
158.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11184
193.3 IPS |
