iPhone 16 Pro Max
Geekbench AI Score
4507
Single Precision Score
32659
Half Precision Score
45402
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | February 02 2025 02:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
15301
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20464
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18338
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24149
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8705
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154382
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293323
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16081
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22702
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41221
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57691
685.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7744
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95083
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161045
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23677
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245649
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302686
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50599
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83401
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4330
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9397
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11366
196.4 IPS |
