iPhone 15 Pro Max
Geekbench AI Score
3716
Single Precision Score
6813
Half Precision Score
5570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Phizzle |
| Upload Date | September 29 2025 08:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1562
290.5 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2024
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15724
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13663
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
97% |
3237
257.7 IPS |
|
|
Object Detection (Q)
|
94% |
2325
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6577
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3724
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6584
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12571
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8840
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20153
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32533
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26669
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4495
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7357
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7275
125.7 IPS |
