iPad Pro 13-inch (M4)
Geekbench AI Score
4882
Single Precision Score
36662
Half Precision Score
51120
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 09:15 PM |
| Views | 2 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
18377
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
25007
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22350
362.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30756
498.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9934
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122857
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232138
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
18350
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25591
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4187
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
42646
506.7 IPS |
|
|
Face Detection (Q)
|
100% |
62018
736.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8460
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99605
767.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166612
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232906
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
320644
413.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53561
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85412
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16352
281.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17243
298.0 IPS |
