iPhone XS Max
Geekbench AI Score
464
Single Precision Score
2010
Half Precision Score
345
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
195
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
22440
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
804
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (Q)
|
94% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
602
7.15 IPS |
|
|
Face Detection (HP)
|
100% |
5229
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
620
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
18451
142.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
408
3.18 IPS |
|
|
Style Transfer (SP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1537
1.98 IPS |
|
|
Style Transfer (Q)
|
96% |
1249
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
433
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.7 IPS |
|
|
Text Classification (HP)
|
100% |
300
399.9 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.3 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
98% |
278
4.81 IPS |
