iPhone 15 Pro Max
Geekbench AI Score
3844
Single Precision Score
25063
Half Precision Score
33739
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 07:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
11931
2.22 KIPS |
|
|
Image Classification (Q)
|
97% |
15376
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16395
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21070
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7931
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
105261
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204933
240.2 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
13742
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19269
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
33656
399.9 IPS |
|
|
Face Detection (Q)
|
100% |
52209
620.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6900
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77891
600.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128408
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21162
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206404
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247773
319.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34172
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57075
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6156
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
