iPhone XS Max
Geekbench AI Score
613
Single Precision Score
1032
Half Precision Score
911
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 04:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
351
65.4 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (Q)
|
96% |
551
102.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1171
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1062
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1005
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
99% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
92% |
559
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1209
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
98% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1302
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2001
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3390
4.36 IPS |
|
|
Style Transfer (Q)
|
96% |
3193
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (HP)
|
100% |
563
752.1 IPS |
|
|
Text Classification (Q)
|
93% |
561
753.4 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
98% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
970
16.8 IPS |
