iPhone 15 Pro Max
Geekbench AI Score
3750
Single Precision Score
25334
Half Precision Score
33360
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 11:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1604
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
10561
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
14844
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16481
267.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20844
337.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7318
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
104471
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203670
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
13812
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18669
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
36837
437.7 IPS |
|
|
Face Detection (Q)
|
100% |
52713
626.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6718
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78064
601.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128561
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20508
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204638
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
246470
318.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33873
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54467
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2136
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6635
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7469
129.1 IPS |
