iPhone XS Max
Geekbench AI Score
429
Single Precision Score
1968
Half Precision Score
307
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 12:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
99% |
156
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
153
2.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
21556
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
639
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
1411
112.0 IPS |
|
|
Object Detection (Q)
|
94% |
175
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
224
2.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
584
4.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
18204
140.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
377
2.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1451
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1435
1.84 IPS |
|
|
Style Transfer (Q)
|
96% |
1165
1.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3530
130.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.1 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.4 IPS |
|
|
Text Classification (Q)
|
93% |
290
389.7 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
98% |
248
4.29 IPS |
