iPhone 15 Pro Max
Geekbench AI Score
4033
Single Precision Score
6920
Half Precision Score
5649
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1686
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
2893
538.0 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8691
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17224
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14933
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3363
267.8 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3914
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7154
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13634
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9402
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22137
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32996
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27674
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5149
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5754
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6061
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6052
104.6 IPS |
