MacBook Pro (13-inch, 2022)
Geekbench ML Score
8638
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 05:59 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3341
625.1 IPS |
|
|
Image Classification (F16)
|
100% |
9209
1.72 KIPS |
|
|
Image Classification (I8)
|
99% |
11830
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1292
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1784
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1450
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
21862
26.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
79381
96.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
77952
94.4 IPS |
|
|
Object Detection (F32)
|
100% |
2587
193.1 IPS |
|
|
Object Detection (F16)
|
100% |
4764
355.6 IPS |
|
|
Object Detection (I8)
|
97% |
1921
143.4 IPS |
|
|
Face Detection (F32)
|
100% |
7970
94.8 IPS |
|
|
Face Detection (F16)
|
97% |
18545
220.5 IPS |
|
|
Face Detection (I8)
|
96% |
16040
190.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15558
120.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
59571
462.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
53706
416.5 IPS |
|
|
Style Transfer (F32)
|
100% |
39737
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
130451
171.6 IPS |
|
|
Style Transfer (I8)
|
100% |
122540
161.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7111
254.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35105
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34278
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
1006
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
3403
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3389
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
858
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
549
10.1 IPS |
|
|
Machine Translation (I8)
|
99% |
908
16.7 IPS |
