iPhone 15 Pro Max
Geekbench AI Score
3726
Single Precision Score
26602
Half Precision Score
36456
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Jessel |
| Upload Date | September 12 2025 06:14 AM |
| Views | 6 |
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% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
10381
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
15404
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16367
265.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21593
350.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7044
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
105675
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
206761
242.3 IPS |
|
|
Object Detection (SP)
|
100% |
1636
129.7 IPS |
|
|
Object Detection (HP)
|
100% |
13816
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17818
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3093
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34337
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
50456
599.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6713
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78148
602.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124365
972.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19745
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
209475
269.3 IPS |
|
|
Style Transfer (Q)
|
96% |
246459
318.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35890
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57376
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6399
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6939
119.9 IPS |
