iPad Pro 11-inch (M4)
Geekbench AI Score
4787
Single Precision Score
35528
Half Precision Score
50342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
16781
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
24089
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22228
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30625
496.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9821
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122753
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230836
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
17676
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25763
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
42309
502.7 IPS |
|
|
Face Detection (Q)
|
100% |
61431
729.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8383
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98409
758.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162799
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23523
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233016
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319500
412.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51064
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83665
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15740
271.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17257
298.2 IPS |
