iPhone 15 Pro Max
Geekbench AI Score
3675
Single Precision Score
26454
Half Precision Score
36127
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
10629
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15418
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16362
265.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21437
347.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7092
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
103039
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
201690
236.4 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
13511
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17840
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
36126
429.3 IPS |
|
|
Face Detection (Q)
|
100% |
46526
552.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6529
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78533
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
122655
959.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19920
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206088
264.9 IPS |
|
|
Style Transfer (Q)
|
96% |
243409
314.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4446
164.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34788
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56021
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6003
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7368
127.3 IPS |
