iPhone 15 Pro Max
Geekbench AI Score
3777
Single Precision Score
26831
Half Precision Score
36524
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Phizzle |
| Upload Date | September 29 2025 08:10 PM |
| Views | 6 |
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% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
10893
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
14820
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16278
263.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21491
348.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7279
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
105243
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
205722
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
13636
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17761
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
36968
439.3 IPS |
|
|
Face Detection (Q)
|
100% |
50246
597.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6742
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78052
601.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
125706
982.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20577
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207176
266.3 IPS |
|
|
Style Transfer (Q)
|
96% |
250636
323.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35976
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58047
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5488
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6440
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7170
123.9 IPS |
