iPhone 15 Pro Max
Geekbench AI Score
5406
Single Precision Score
6498
Half Precision Score
6085
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | schoolveer |
| Upload Date | April 03 2026 10:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
1938
360.3 IPS |
|
|
Image Classification (Q)
|
96% |
2013
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3753
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4090
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13174
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15100
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14729
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
2957
234.5 IPS |
|
|
Object Detection (Q)
|
91% |
2624
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
6535
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
9777
116.2 IPS |
|
|
Face Detection (Q)
|
100% |
8456
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11328
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12647
97.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11784
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27473
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32939
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32133
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5713
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5288
195.3 IPS |
|
|
Text Classification (SP)
|
99% |
5852
7.81 KIPS |
|
|
Text Classification (HP)
|
100% |
10194
13.6 KIPS |
|
|
Text Classification (Q)
|
93% |
9150
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1413
24.4 IPS |
