iPhone 15 Pro Max
Geekbench AI Score
3814
Single Precision Score
25566
Half Precision Score
35482
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:21 PM |
| Views | 1 |
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% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
11669
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
15499
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16673
270.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21502
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7360
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
103448
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205351
240.7 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
13832
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19105
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
36869
438.1 IPS |
|
|
Face Detection (Q)
|
100% |
52859
628.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6762
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78457
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
125755
983.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20371
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201446
259.0 IPS |
|
|
Style Transfer (Q)
|
96% |
250157
322.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4610
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34940
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54848
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3300
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6859
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8038
138.9 IPS |
