iPhone 15 Pro Max
Geekbench AI Score
3790
Single Precision Score
19453
Half Precision Score
29305
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
8242
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
8950
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15436
250.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21053
341.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7210
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
92516
108.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
197727
231.7 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
10166
806.4 IPS |
|
|
Object Detection (Q)
|
91% |
15140
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
31206
370.8 IPS |
|
|
Face Detection (Q)
|
100% |
40979
486.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6855
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31153
240.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89169
697.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21173
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
158743
204.1 IPS |
|
|
Style Transfer (Q)
|
96% |
177444
229.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15958
589.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38067
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4688
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6139
106.1 IPS |
