MacBook Pro (13-inch, 2022)
Geekbench ML Score
5699
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 23 2025 07:49 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.45 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% |
3441
643.9 IPS |
|
|
Image Classification (F16)
|
100% |
3209
600.5 IPS |
|
|
Image Classification (I8)
|
99% |
3325
622.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1398
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1354
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1454
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21935
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25355
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25451
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2690
200.8 IPS |
|
|
Object Detection (F16)
|
100% |
2758
205.9 IPS |
|
|
Object Detection (I8)
|
97% |
2661
198.7 IPS |
|
|
Face Detection (F32)
|
100% |
6195
73.7 IPS |
|
|
Face Detection (F16)
|
98% |
10804
128.5 IPS |
|
|
Face Detection (I8)
|
97% |
10665
126.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15921
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17631
136.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17370
134.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41231
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47716
62.8 IPS |
|
|
Style Transfer (I8)
|
100% |
42505
55.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9492
339.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9926
354.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9559
341.4 IPS |
|
|
Text Classification (F32)
|
100% |
1743
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1634
2.35 KIPS |
|
|
Text Classification (I8)
|
96% |
1814
2.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1012
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1124
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1089
20.0 IPS |
