MacBook Pro (13-inch, 2022)
Geekbench ML Score
9329
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 08:17 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.25 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% |
2643
494.6 IPS |
|
|
Image Classification (F16)
|
100% |
9399
1.76 KIPS |
|
|
Image Classification (I8)
|
99% |
11789
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1063
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1647
27.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1642
27.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
20832
25.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
86480
104.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
83296
100.9 IPS |
|
|
Object Detection (F32)
|
100% |
2451
183.0 IPS |
|
|
Object Detection (F16)
|
100% |
5559
415.0 IPS |
|
|
Object Detection (I8)
|
97% |
2603
194.4 IPS |
|
|
Face Detection (F32)
|
100% |
7739
92.0 IPS |
|
|
Face Detection (F16)
|
97% |
18731
222.7 IPS |
|
|
Face Detection (I8)
|
96% |
18416
219.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14841
115.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
45996
356.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
73154
567.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41470
54.6 IPS |
|
|
Style Transfer (F16)
|
100% |
134065
176.4 IPS |
|
|
Style Transfer (I8)
|
100% |
147157
193.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7053
251.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36114
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33846
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3497
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
891
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1365
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
943
17.3 IPS |
