iPhone 15 Pro Max
Geekbench AI Score
3430
Single Precision Score
23703
Half Precision Score
33600
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 01:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1471
273.6 IPS |
|
|
Image Classification (HP)
|
100% |
9872
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
12634
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16205
262.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21116
342.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6376
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
92234
107.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
185799
217.8 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
100% |
12947
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15531
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
2748
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
34648
411.7 IPS |
|
|
Face Detection (Q)
|
100% |
52628
625.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6077
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
68961
531.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
104721
818.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18138
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
190273
244.6 IPS |
|
|
Style Transfer (Q)
|
96% |
234477
302.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26212
967.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
46878
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5457
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7208
124.6 IPS |
