iPhone 15 Pro Max
Geekbench AI Score
3754
Single Precision Score
6827
Half Precision Score
5621
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | harry34x |
| Upload Date | October 12 2025 07:26 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% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3027
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7381
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16203
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13990
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3777
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12691
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8937
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20474
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33197
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27280
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4568
168.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5615
207.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4350
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7086
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7203
124.5 IPS |
