MacBook Pro (13-inch, 2022)
Geekbench ML Score
9502
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 18 2025 07:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 2.69 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% |
3417
639.5 IPS |
|
|
Image Classification (F16)
|
100% |
8463
1.58 KIPS |
|
|
Image Classification (I8)
|
99% |
9886
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1546
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1953
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1019
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23028
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93223
112.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
96680
117.1 IPS |
|
|
Object Detection (F32)
|
100% |
2789
208.2 IPS |
|
|
Object Detection (F16)
|
100% |
6169
460.6 IPS |
|
|
Object Detection (I8)
|
97% |
2818
210.4 IPS |
|
|
Face Detection (F32)
|
100% |
8940
106.3 IPS |
|
|
Face Detection (F16)
|
97% |
17258
205.2 IPS |
|
|
Face Detection (I8)
|
96% |
16518
196.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16439
127.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
66127
512.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
55422
429.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40592
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
146444
192.6 IPS |
|
|
Style Transfer (I8)
|
100% |
124293
163.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8415
300.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35220
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33841
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
1037
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
3562
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3560
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1404
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1096
20.2 IPS |
