iPhone 15 Pro Max
Geekbench AI Score
3783
Single Precision Score
26040
Half Precision Score
34837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 23 2025 05:33 AM |
| Views | 4 |
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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
11194
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14432
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16209
262.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21047
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7475
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
105969
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
201828
236.6 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
13119
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
16883
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
36591
434.8 IPS |
|
|
Face Detection (Q)
|
100% |
46018
546.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6900
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75237
579.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
118083
923.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204102
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
240487
310.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31338
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55394
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5895
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6420
110.9 IPS |
