iPhone 15 Pro Max
Geekbench AI Score
3818
Single Precision Score
26997
Half Precision Score
37754
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1643
305.6 IPS |
|
|
Image Classification (HP)
|
100% |
10830
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15480
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16591
269.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21136
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7539
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
105121
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205720
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
13914
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18117
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33798
401.6 IPS |
|
|
Face Detection (Q)
|
100% |
51222
608.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6746
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78102
601.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
124664
974.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20571
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
208358
267.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247846
319.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34275
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59925
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5436
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7952
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9359
161.7 IPS |
