iPhone XS Max
Geekbench AI Score
505
Single Precision Score
2127
Half Precision Score
368
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | winzee |
| Upload Date | July 22 2025 01:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
203
3.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1232
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
25012
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
845
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
628
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
5305
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
251
2.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
676
5.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
18953
146.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
449
3.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1799
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1783
2.29 IPS |
|
|
Style Transfer (Q)
|
96% |
1453
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3655
134.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
483
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.2 IPS |
|
|
Text Classification (HP)
|
100% |
308
410.6 IPS |
|
|
Text Classification (Q)
|
93% |
304
407.7 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
98% |
326
5.64 IPS |
