MacBook Pro (13-inch, 2022)
Geekbench ML Score
6330
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 30 2026 07:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| 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 | 3.47 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3170
593.2 IPS |
|
|
Image Classification (F16)
|
100% |
3064
573.4 IPS |
|
|
Image Classification (I8)
|
99% |
3141
587.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1210
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1141
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1400
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23511
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25385
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25471
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2859
213.5 IPS |
|
|
Object Detection (F16)
|
100% |
2886
215.4 IPS |
|
|
Object Detection (I8)
|
97% |
2797
208.8 IPS |
|
|
Face Detection (F32)
|
100% |
9283
110.4 IPS |
|
|
Face Detection (F16)
|
98% |
11097
131.9 IPS |
|
|
Face Detection (I8)
|
97% |
11033
131.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16483
127.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
18132
140.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17626
136.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40268
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
44723
58.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47496
62.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9455
337.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8186
292.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9779
349.2 IPS |
|
|
Text Classification (F32)
|
100% |
3734
5.37 KIPS |
|
|
Text Classification (F16)
|
100% |
6375
9.16 KIPS |
|
|
Text Classification (I8)
|
96% |
6016
8.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1037
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1012
18.6 IPS |
