iPhone 16 Pro Max
Geekbench AI Score
4644
Single Precision Score
7831
Half Precision Score
6282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.9 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3387
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9657
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19034
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16358
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
97% |
3845
306.1 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7594
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4294
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8104
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14510
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10131
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25020
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37806
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31189
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7043
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7063
122.1 IPS |
