iPhone 15 Pro Max
Geekbench AI Score
3955
Single Precision Score
6862
Half Precision Score
5615
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 17 2025 09:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1702
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8182
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
16593
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14398
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
97% |
3356
267.2 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6745
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3892
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7021
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13510
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9362
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21289
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32660
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27407
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4925
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6038
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6040
104.4 IPS |
