iPhone 15 Pro Max
Geekbench AI Score
3914
Single Precision Score
25483
Half Precision Score
35958
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 09:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1667
310.0 IPS |
|
|
Image Classification (HP)
|
100% |
10999
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15193
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16451
266.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21239
344.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8070
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
106876
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
206248
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.5 IPS |
|
|
Object Detection (HP)
|
100% |
13873
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19236
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33531
398.4 IPS |
|
|
Face Detection (Q)
|
100% |
52693
626.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7007
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78015
601.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
130452
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21340
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206108
265.0 IPS |
|
|
Style Transfer (Q)
|
96% |
249235
321.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34176
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60069
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3547
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6464
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7735
133.7 IPS |
