iPhone 15 Pro Max
Geekbench AI Score
3595
Single Precision Score
6527
Half Precision Score
5370
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 01:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.9 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2937
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7541
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15477
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13342
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
3000
238.9 IPS |
|
|
Object Detection (Q)
|
94% |
2188
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5985
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3524
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6420
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12161
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8515
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19504
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31937
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26109
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4379
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5433
93.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5697
98.4 IPS |
