iPhone 15 Pro Max
Geekbench AI Score
4014
Single Precision Score
21379
Half Precision Score
27447
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SilentGSG9 |
| Upload Date | August 21 2024 07:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
11515
2.14 KIPS |
|
|
Image Classification (Q)
|
99% |
13065
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10703
173.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10889
176.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8550
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
103328
120.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
199400
233.9 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
13106
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18808
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
21961
260.9 IPS |
|
|
Face Detection (Q)
|
100% |
35351
420.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7266
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
65538
504.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
74799
578.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21740
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
139290
179.1 IPS |
|
|
Style Transfer (Q)
|
100% |
138802
178.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5117
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34417
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54675
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (Q)
|
93% |
3053
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6279
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7423
128.3 IPS |
