iPad Pro 11-inch (M4)
Geekbench AI Score
4676
Single Precision Score
37784
Half Precision Score
53173
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1970
366.4 IPS |
|
|
Image Classification (HP)
|
100% |
18127
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26001
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22043
357.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30332
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9501
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122491
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230788
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
18930
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26051
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
43222
513.6 IPS |
|
|
Face Detection (Q)
|
100% |
63351
752.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8393
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99637
767.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170156
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21333
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234385
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299622
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5932
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49980
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90245
3.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7462
9.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6985
9.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17003
292.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18719
323.5 IPS |
