iPhone 15 Pro Max
Geekbench AI Score
3748
Single Precision Score
6867
Half Precision Score
5584
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 04:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.3 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3005
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7242
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
15955
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13686
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (HP)
|
97% |
3246
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3729
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6659
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12747
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8839
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20275
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32801
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26715
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7285
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7245
125.2 IPS |
