iPhone XS Max
Geekbench AI Score
648
Single Precision Score
740
Half Precision Score
294
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 12:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
96% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
179
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1597
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2027
2.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
689
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
92% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1696
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2081
16.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
4123
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3650
4.69 IPS |
|
|
Style Transfer (Q)
|
96% |
1508
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
295
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.7 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.4 IPS |
|
|
Text Classification (Q)
|
93% |
205
275.7 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.11 IPS |
|
|
Machine Translation (Q)
|
98% |
176
3.04 IPS |
