iPad Pro 13-inch (M4)
Geekbench AI Score
9196
Single Precision Score
11047
Half Precision Score
10433
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | September 20 2025 03:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4617
858.6 IPS |
|
|
Image Classification (HP)
|
100% |
5045
938.2 IPS |
|
|
Image Classification (Q)
|
96% |
4605
859.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7088
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8010
129.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7666
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27077
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31072
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30293
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
5227
414.6 IPS |
|
|
Object Detection (Q)
|
92% |
4941
394.4 IPS |
|
|
Face Detection (SP)
|
100% |
12550
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
16844
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
13460
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20012
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23216
178.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21218
165.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55111
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66939
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65793
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11435
422.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12412
458.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10837
400.2 IPS |
|
|
Text Classification (SP)
|
100% |
3335
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5792
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2453
42.4 IPS |
