iPad Pro 11-inch (M4)
Geekbench AI Score
4833
Single Precision Score
36760
Half Precision Score
51991
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 01:21 PM |
| 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 | iPad16,3 |
| 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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
17215
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
25158
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22174
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30531
494.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123564
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231557
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
18767
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26011
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
42599
506.2 IPS |
|
|
Face Detection (Q)
|
100% |
63497
754.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100031
770.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167250
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21540
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234139
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297703
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49285
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84576
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6254
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16552
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18271
315.7 IPS |
