iPad Pro 13-inch (M4)
Geekbench AI Score
4852
Single Precision Score
36419
Half Precision Score
51738
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 10 2025 06:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17496
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24996
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22060
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30576
495.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9999
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122737
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231444
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
18252
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25670
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
42364
503.4 IPS |
|
|
Face Detection (Q)
|
100% |
63019
748.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8628
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98904
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166457
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21664
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235025
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297401
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48687
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84003
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6051
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6439
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4454
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16364
281.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17939
310.0 IPS |
