iPad Pro 13-inch (M4)
Geekbench AI Score
4913
Single Precision Score
35771
Half Precision Score
50748
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 06:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
16929
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
24942
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22417
363.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30991
502.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9954
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123372
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231595
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
17643
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25658
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42845
509.1 IPS |
|
|
Face Detection (Q)
|
100% |
61695
733.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8461
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98751
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164050
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24279
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232497
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
320492
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51669
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85705
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5070
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5029
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16117
277.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17642
304.9 IPS |
