iPhone XS Max
Geekbench AI Score
410
Single Precision Score
1937
Half Precision Score
299
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 02:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
229
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (Q)
|
99% |
148
27.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
746
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
21473
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
623
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (Q)
|
94% |
168
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.58 IPS |
|
|
Face Detection (HP)
|
100% |
5187
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
17017
131.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
326
2.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1293
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1326
1.70 IPS |
|
|
Style Transfer (Q)
|
96% |
1122
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3524
130.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
404
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.4 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.0 IPS |
|
|
Text Classification (Q)
|
93% |
288
386.2 IPS |
|
|
Machine Translation (SP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
98% |
262
4.52 IPS |
