iPhone 15 Pro Max
Geekbench AI Score
4977
Single Precision Score
6004
Half Precision Score
5365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2150
399.8 IPS |
|
|
Image Classification (HP)
|
100% |
2420
450.0 IPS |
|
|
Image Classification (Q)
|
97% |
2110
393.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3824
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3836
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13672
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14254
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13544
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (Q)
|
91% |
2303
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
8758
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
6137
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10956
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11770
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10376
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28013
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32688
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30928
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6175
228.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6231
230.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5721
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1369
23.7 IPS |
