iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3459
Single Precision Score
26527
Half Precision Score
28638
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Tezz |
| Upload Date | August 20 2025 04:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
14179
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15284
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19595
317.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23749
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
106035
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104990
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
15164
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16474
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
33290
395.6 IPS |
|
|
Face Detection (Q)
|
100% |
42979
510.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5535
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86185
664.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
101612
794.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203148
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192648
248.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40513
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41526
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4241
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4382
75.7 IPS |
