iPhone XS Max
Geekbench AI Score
621
Single Precision Score
1051
Half Precision Score
936
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 11:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
361
67.2 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.6 IPS |
|
|
Image Classification (Q)
|
96% |
552
103.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1166
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
994
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
99% |
669
53.0 IPS |
|
|
Object Detection (Q)
|
92% |
555
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (Q)
|
100% |
1207
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
859
6.62 IPS |
|
|
Depth Estimation (HP)
|
98% |
1580
12.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1380
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2093
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
3637
4.68 IPS |
|
|
Style Transfer (Q)
|
96% |
3412
4.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
702
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.2 IPS |
|
|
Text Classification (HP)
|
100% |
563
750.9 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.3 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (HP)
|
98% |
959
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
978
16.9 IPS |
