iPhone 15 Pro Max
Geekbench AI Score
3990
Single Precision Score
25011
Half Precision Score
34938
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 09 2024 04:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
10775
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15328
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15776
255.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20800
337.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8140
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
107798
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204893
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
13950
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19277
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
35387
420.5 IPS |
|
|
Face Detection (Q)
|
100% |
51450
611.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7236
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
79012
608.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126917
992.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21230
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201373
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
245604
316.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34174
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57931
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3091
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6255
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7495
129.5 IPS |
