iPad Pro 13-inch (M4)
Geekbench AI Score
4723
Single Precision Score
36234
Half Precision Score
51310
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | stevetsuida |
| Upload Date | January 29 2025 08:44 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
16823
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
23995
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22018
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30439
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123656
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232267
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18337
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25466
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
42473
504.7 IPS |
|
|
Face Detection (Q)
|
100% |
62733
745.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98841
761.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171754
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25100
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231787
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295530
381.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48325
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83129
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6220
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16244
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17783
307.3 IPS |
