iPad Pro 11-inch (M4)
Geekbench AI Score
4834
Single Precision Score
36462
Half Precision Score
51648
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 07:13 AM |
| Views | 1 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2083
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
16829
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
24694
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22216
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30364
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123052
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230969
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
18469
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25907
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
43253
513.9 IPS |
|
|
Face Detection (Q)
|
100% |
63126
750.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8604
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98642
760.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168916
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21727
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232132
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300082
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50396
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85600
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6114
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17978
310.7 IPS |
