iPhone 15 Pro Max
Geekbench AI Score
3820
Single Precision Score
6893
Half Precision Score
5682
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7744
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
16804
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14497
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6734
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3840
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6726
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12555
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8953
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21128
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33474
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27709
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5672
209.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7333
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7382
127.6 IPS |
