iPad Pro 13-inch (M4)
Geekbench AI Score
8693
Single Precision Score
10463
Half Precision Score
9391
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 05:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4342
807.4 IPS |
|
|
Image Classification (HP)
|
100% |
4771
887.3 IPS |
|
|
Image Classification (Q)
|
97% |
4070
759.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4782
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6655
107.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7040
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27627
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29910
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28384
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4616
366.1 IPS |
|
|
Object Detection (HP)
|
100% |
5124
406.5 IPS |
|
|
Object Detection (Q)
|
91% |
4373
349.4 IPS |
|
|
Face Detection (SP)
|
100% |
12637
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16199
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
11849
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20079
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22214
171.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19189
150.0 IPS |
|
|
Style Transfer (SP)
|
100% |
54769
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66271
85.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62272
80.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11431
422.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12578
464.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10211
377.0 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2013
34.8 IPS |
