iPhone XS Max
Geekbench AI Score
437
Single Precision Score
1945
Half Precision Score
313
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 08:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
1990
370.0 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
149
2.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
21429
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
639
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (Q)
|
94% |
175
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
5198
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
586
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
18440
142.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
384
3.00 IPS |
|
|
Style Transfer (SP)
|
100% |
1500
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1450
1.86 IPS |
|
|
Style Transfer (Q)
|
96% |
1196
1.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
421
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.2 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (Q)
|
93% |
294
395.0 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
98% |
250
4.32 IPS |
