iPhone 15 Pro Max
Geekbench AI Score
3890
Single Precision Score
6994
Half Precision Score
5609
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 03:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
3025
562.6 IPS |
|
|
Image Classification (Q)
|
96% |
2053
383.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7834
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
16135
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14065
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
97% |
3253
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3751
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6829
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12847
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8885
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20714
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32962
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27378
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6127
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4420
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5949
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6814
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6439
111.3 IPS |
