iPad Pro 11-inch (M4)
Geekbench AI Score
4956
Single Precision Score
36285
Half Precision Score
50894
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
17027
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23193
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22371
362.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30842
500.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9932
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123231
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232011
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
17772
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26108
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43254
514.0 IPS |
|
|
Face Detection (Q)
|
100% |
62703
745.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8558
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98792
761.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161766
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24420
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234082
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
317478
409.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51253
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82697
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16470
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18088
312.6 IPS |
