iPhone 15 Pro Max
Geekbench AI Score
3816
Single Precision Score
6775
Half Precision Score
5570
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1646
306.2 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3019
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7563
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15759
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13405
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
97% |
3247
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6559
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3766
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6697
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12640
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8865
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20519
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33365
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27369
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4636
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5626
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4358
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5239
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5296
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7073
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7039
121.6 IPS |
