iPhone 15 Pro Max
Geekbench AI Score
4882
Single Precision Score
5992
Half Precision Score
5300
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
2327
432.8 IPS |
|
|
Image Classification (Q)
|
97% |
2046
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3782
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3752
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13442
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14196
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13560
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
2803
222.3 IPS |
|
|
Object Detection (Q)
|
91% |
2293
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
6396
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
9166
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
6350
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10736
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11648
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10169
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27952
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33189
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31217
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6199
228.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4855
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1347
23.3 IPS |
