iPad Pro 13-inch (M4)
Geekbench AI Score
4840
Single Precision Score
36492
Half Precision Score
51436
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 30 2025 12:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
17038
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
24510
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22065
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30279
490.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10002
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123044
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231236
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
18206
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25644
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
42421
504.1 IPS |
|
|
Face Detection (Q)
|
100% |
62953
748.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8645
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99042
763.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
166611
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21928
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234371
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296999
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50459
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83271
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6066
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16500
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18188
314.3 IPS |
