iPhone 16 Pro Max
Geekbench AI Score
6084
Single Precision Score
7062
Half Precision Score
6823
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2845
529.1 IPS |
|
|
Image Classification (HP)
|
100% |
2774
515.9 IPS |
|
|
Image Classification (Q)
|
96% |
3044
568.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4499
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4914
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4744
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15784
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17502
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16952
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
92% |
3385
270.2 IPS |
|
|
Face Detection (SP)
|
100% |
7720
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
10832
128.7 IPS |
|
|
Face Detection (Q)
|
100% |
8679
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13513
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15342
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13910
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33148
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38175
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38943
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8067
297.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8112
299.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7599
280.6 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1272
22.0 IPS |
