iPad Pro 13-inch (M4)
Geekbench AI Score
4676
Single Precision Score
37365
Half Precision Score
53331
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 25 2025 09:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
17950
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
27823
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22206
360.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30758
498.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9958
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123894
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231446
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
18642
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26221
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3901
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
43467
516.5 IPS |
|
|
Face Detection (Q)
|
100% |
63213
751.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99461
766.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168961
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24764
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235269
302.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299271
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48451
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86859
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6992
9.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6781
9.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16726
288.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19039
329.0 IPS |
