iPhone 15 Pro Max
Geekbench AI Score
3666
Single Precision Score
5395
Half Precision Score
4694
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
1730
321.8 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
96% |
1649
308.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2060
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7445
8.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
15657
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13701
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
97% |
2568
204.4 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
3100
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6183
47.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
9493
73.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7220
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19793
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29411
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25497
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5759
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3143
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5187
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5155
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2728
47.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4414
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4423
76.4 IPS |
