iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3297
Single Precision Score
26279
Half Precision Score
28922
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 09 2026 01:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
13780
2.56 KIPS |
|
|
Image Classification (Q)
|
96% |
15310
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19532
316.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24098
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
106775
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105075
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
15265
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16294
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34095
405.1 IPS |
|
|
Face Detection (Q)
|
100% |
42944
510.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5360
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
84160
648.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107393
839.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18136
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200985
258.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195615
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36674
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41951
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4396
76.0 IPS |
