iPad Pro 13-inch (M4)
Geekbench AI Score
9751
Single Precision Score
11722
Half Precision Score
10288
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 06 2025 05:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4614
858.0 IPS |
|
|
Image Classification (HP)
|
100% |
5038
936.9 IPS |
|
|
Image Classification (Q)
|
96% |
4660
870.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7173
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8039
130.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7700
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27916
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30037
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29150
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4668
370.3 IPS |
|
|
Object Detection (HP)
|
100% |
5287
419.4 IPS |
|
|
Object Detection (Q)
|
92% |
4814
384.3 IPS |
|
|
Face Detection (SP)
|
100% |
12747
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16727
198.7 IPS |
|
|
Face Detection (Q)
|
100% |
13453
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20721
159.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22681
174.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21021
164.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56269
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66617
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64394
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11704
432.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12861
474.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11414
421.5 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5689
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4119
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2312
40.0 IPS |
