iPhone 15 Pro Max
Geekbench AI Score
3705
Single Precision Score
25514
Half Precision Score
35889
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:22 AM |
| Views | 11 |
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% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
11112
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15207
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16358
265.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21207
343.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6950
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
99418
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205535
240.9 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
13845
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19452
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
33757
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
53072
630.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6472
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78264
603.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128371
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
19393
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201959
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
254273
328.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4398
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35608
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58279
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3676
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6332
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7409
128.0 IPS |
