iPad Pro 13-inch (M4)
Geekbench AI Score
4960
Single Precision Score
36310
Half Precision Score
51132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 17 2025 01:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2113
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
17376
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
23127
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22387
362.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31014
502.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122873
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232505
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
17617
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25921
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
43014
511.1 IPS |
|
|
Face Detection (Q)
|
100% |
62835
746.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98808
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167915
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24427
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234475
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
321398
414.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50755
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83063
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4461
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16566
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18104
312.9 IPS |
