iPhone 15 Pro Max
Geekbench AI Score
3821
Single Precision Score
6709
Half Precision Score
5469
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 05:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3073
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7566
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15501
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13594
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
3311
263.6 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6649
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3756
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6600
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13140
101.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8916
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20136
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31194
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26325
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4287
158.3 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5965
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5955
102.9 IPS |
