iPhone 15 Pro Max
Geekbench AI Score
5014
Single Precision Score
6023
Half Precision Score
5306
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 08:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2230
414.7 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
97% |
2077
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3733
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3769
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13382
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14226
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13464
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
2863
227.1 IPS |
|
|
Object Detection (Q)
|
91% |
2383
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
6449
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
8423
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
5873
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11004
84.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11912
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10396
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27540
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32669
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30258
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6479
239.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5073
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5574
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1365
23.6 IPS |
