iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3308
Single Precision Score
26427
Half Precision Score
28938
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | February 18 2026 10:55 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
14308
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15665
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19836
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24190
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6323
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
103226
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105771
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
15581
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
16610
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
34239
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
43583
517.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5377
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
83825
645.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
101856
796.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18160
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202946
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
187350
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37369
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42622
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4304
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4479
77.4 IPS |
