iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3093
Single Precision Score
14601
Half Precision Score
14043
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 03:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
6261
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5571
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8953
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9159
148.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
67789
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64424
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
99% |
6617
526.4 IPS |
|
|
Object Detection (Q)
|
91% |
6069
485.0 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
12868
152.9 IPS |
|
|
Face Detection (Q)
|
100% |
11738
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44102
339.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
43730
341.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16528
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119557
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
112204
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3468
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23662
873.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23592
871.1 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4240
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4192
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2626
45.4 IPS |
