iPad Pro 11-inch (M4)
Geekbench AI Score
4843
Single Precision Score
36692
Half Precision Score
51650
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 03:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17422
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24167
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22177
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30588
495.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122586
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231039
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
18696
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26209
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43171
513.0 IPS |
|
|
Face Detection (Q)
|
100% |
62685
744.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100123
771.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166358
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21623
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234467
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297504
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48890
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83737
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6422
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4436
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16478
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18096
312.7 IPS |
