iPad Pro 13-inch (M4)
Geekbench AI Score
4897
Single Precision Score
36867
Half Precision Score
52271
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | September 20 2025 03:31 AM |
| Views | 7 |
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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
17689
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
24276
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22520
365.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30987
502.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9942
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122838
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231661
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
18050
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26687
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
43297
514.5 IPS |
|
|
Face Detection (Q)
|
100% |
63011
748.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8468
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99599
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167746
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23981
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234476
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
322225
415.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52632
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86109
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6043
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16733
288.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18476
319.3 IPS |
