iPad Pro 13-inch (M4)
Geekbench AI Score
4977
Single Precision Score
36252
Half Precision Score
51287
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MrCipher |
| Upload Date | July 18 2025 08:22 AM |
| Views | 3 |
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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2120
394.3 IPS |
|
|
Image Classification (HP)
|
100% |
17331
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23709
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22328
362.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30792
499.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122958
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231976
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
17748
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26085
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
42034
499.4 IPS |
|
|
Face Detection (Q)
|
100% |
61625
732.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8697
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99325
765.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161883
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24528
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234902
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320498
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50897
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82631
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5945
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16429
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18150
313.7 IPS |
