iPad Pro 13-inch (M4)
Geekbench AI Score
4947
Single Precision Score
36328
Half Precision Score
51320
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | thecalesugg |
| Upload Date | September 20 2025 12:22 AM |
| 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 | iPad16,5 |
| 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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
17003
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
24791
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22278
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30701
497.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122894
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232256
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
18266
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25972
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42427
504.1 IPS |
|
|
Face Detection (Q)
|
100% |
62246
739.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8514
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98551
759.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164300
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24293
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233858
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
318300
410.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50809
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83393
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16856
290.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18231
315.0 IPS |
