iPhone 15 Pro Max
Geekbench AI Score
3614
Single Precision Score
5435
Half Precision Score
4683
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1655
307.8 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
1648
307.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2069
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7534
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15823
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13631
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
97% |
2556
203.5 IPS |
|
|
Object Detection (Q)
|
94% |
1939
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
3112
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6105
47.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
9510
73.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
7167
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19836
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30429
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25509
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4586
169.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5913
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4436
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5250
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2722
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4309
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4300
74.3 IPS |
