iPad Pro 13-inch (M4)
Geekbench AI Score
4745
Single Precision Score
36721
Half Precision Score
51922
Quantized Score
Geekbench AI 1.5.0 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
17175
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
26182
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22163
359.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30624
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9811
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122995
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229783
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
100% |
18869
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
25819
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4138
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
43460
516.4 IPS |
|
|
Face Detection (Q)
|
100% |
63376
753.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98319
757.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168724
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
20724
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232676
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298335
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48595
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84641
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6202
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4350
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16332
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17877
308.9 IPS |
