iPhone 15 Pro Max
Geekbench AI Score
3656
Single Precision Score
6455
Half Precision Score
5649
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bittenapple |
| Upload Date | August 16 2024 08:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1597
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2909
541.1 IPS |
|
|
Image Classification (Q)
|
99% |
2895
539.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2512
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7024
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
14404
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12656
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
97% |
3170
252.3 IPS |
|
|
Object Detection (Q)
|
94% |
2242
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6197
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3587
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6160
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12578
97.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12464
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18726
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29691
38.2 IPS |
|
|
Style Transfer (Q)
|
100% |
29787
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5718
211.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4119
152.6 IPS |
|
|
Text Classification (SP)
|
100% |
3155
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5200
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5293
91.5 IPS |
