iPad Pro 13-inch (M4)
Geekbench AI Score
4953
Single Precision Score
36936
Half Precision Score
51930
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 11:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
18146
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25602
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22560
365.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31308
507.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123295
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233567
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
18300
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26942
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4198
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
43576
517.8 IPS |
|
|
Face Detection (Q)
|
100% |
63424
753.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8471
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100858
777.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164366
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24424
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233074
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321214
414.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6038
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51157
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84251
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5790
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5584
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16866
290.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17949
310.2 IPS |
