iPhone 15 Pro Max
Geekbench AI Score
3739
Single Precision Score
26673
Half Precision Score
36113
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 10:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
11036
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15638
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16386
265.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21136
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7066
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
104909
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
206983
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
13957
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17898
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
34088
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
48212
572.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6790
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78453
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
124747
975.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19940
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206779
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
245623
317.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4513
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34603
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55390
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6344
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6770
117.0 IPS |
