iPhone 15 Pro Max
Geekbench AI Score
3771
Single Precision Score
26413
Half Precision Score
36197
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Daniel_211 |
| Upload Date | September 22 2025 01:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
11086
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15321
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15607
253.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21226
344.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7500
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
106193
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203535
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.7 IPS |
|
|
Object Detection (HP)
|
100% |
13268
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
17775
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
35236
418.7 IPS |
|
|
Face Detection (Q)
|
100% |
49657
590.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6721
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78390
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123983
969.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20514
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204273
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
247245
319.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4554
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34326
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57362
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6224
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6892
119.1 IPS |
