iPhone XS Max
Geekbench AI Score
475
Single Precision Score
2013
Half Precision Score
345
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.1 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
196
3.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1065
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
22320
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
775
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
94% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
602
7.15 IPS |
|
|
Face Detection (HP)
|
100% |
5219
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
244
2.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
640
4.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
18438
142.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
421
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1626
2.09 IPS |
|
|
Style Transfer (HP)
|
100% |
1620
2.08 IPS |
|
|
Style Transfer (Q)
|
96% |
1337
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
431
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.3 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (Q)
|
93% |
299
400.7 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
98% |
287
4.96 IPS |
