iPad Pro 13-inch (M4)
Geekbench AI Score
4747
Single Precision Score
36723
Half Precision Score
52326
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:41 AM |
| Views | 1 |
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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
17524
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
24442
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22110
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30347
491.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10036
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123748
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
234189
274.5 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
18359
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25893
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43333
514.9 IPS |
|
|
Face Detection (Q)
|
100% |
62792
746.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99139
763.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168688
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25169
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236698
304.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299552
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48742
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85756
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6225
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6898
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16427
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18229
315.0 IPS |
