iPhone XS Max
Geekbench AI Score
608
Single Precision Score
745
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 10:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
96% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1610
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
666
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
92% |
149
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1504
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2188
16.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
417
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
3537
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4561
5.86 IPS |
|
|
Style Transfer (Q)
|
96% |
1542
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
258
9.53 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.7 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.0 IPS |
|
|
Text Classification (Q)
|
93% |
205
274.7 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
159
2.74 IPS |
|
|
Machine Translation (Q)
|
98% |
149
2.57 IPS |
