iPad Pro 13-inch (M4)
Geekbench AI Score
2698
Single Precision Score
22052
Half Precision Score
31368
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | July 31 2025 10:20 PM |
| Views | 9 |
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 | iPad16,6 |
| 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% |
1091
202.9 IPS |
|
|
Image Classification (HP)
|
100% |
11314
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15864
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13224
214.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18923
306.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5655
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67619
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
127439
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
100% |
12006
952.3 IPS |
|
|
Object Detection (Q)
|
91% |
16140
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
2223
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
25717
305.6 IPS |
|
|
Face Detection (Q)
|
100% |
36964
439.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4615
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
60869
469.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
103956
812.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13103
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
149544
192.2 IPS |
|
|
Style Transfer (Q)
|
96% |
214286
276.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3367
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33276
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55077
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3239
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3203
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8877
152.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10285
177.7 IPS |
