iPhone 15 Pro Max
Geekbench AI Score
4981
Single Precision Score
5998
Half Precision Score
5692
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 06:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1923
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (Q)
|
96% |
2074
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3693
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4222
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13111
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15016
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14513
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
2545
201.9 IPS |
|
|
Object Detection (Q)
|
92% |
2525
201.5 IPS |
|
|
Face Detection (SP)
|
100% |
6270
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8470
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
6974
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10865
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12267
94.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11294
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26412
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32967
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31780
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5491
202.7 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1474
25.5 IPS |
