iPad Pro 13-inch (M4)
Geekbench AI Score
4662
Single Precision Score
37499
Half Precision Score
54119
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sse |
| Upload Date | January 12 2025 06:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
18469
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
26860
5.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22174
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30338
491.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10100
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123533
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233119
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
100% |
19040
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26392
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
43264
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
62874
747.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98937
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168433
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24883
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236665
304.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298778
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49350
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84473
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6949
9.28 KIPS |
|
|
Text Classification (Q)
|
93% |
8612
11.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16432
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18678
322.8 IPS |
