iPhone XS Max
Geekbench AI Score
619
Single Precision Score
627
Half Precision Score
277
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 06 2025 04:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
96% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1264
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1332
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
679
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (Q)
|
92% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (Q)
|
100% |
222
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1632
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
401
3.13 IPS |
|
|
Style Transfer (SP)
|
100% |
3876
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2354
3.03 IPS |
|
|
Style Transfer (Q)
|
96% |
1507
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
240
8.87 IPS |
|
|
Text Classification (SP)
|
100% |
150
199.7 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.5 IPS |
|
|
Text Classification (Q)
|
93% |
204
273.3 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
98% |
179
3.10 IPS |
