MacBook Pro (13-inch, 2022)
Geekbench ML Score
6162
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 06:40 PM |
| Views | 6 |
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 | 3.30 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% |
3516
657.9 IPS |
|
|
Image Classification (F16)
|
100% |
3383
633.0 IPS |
|
|
Image Classification (I8)
|
99% |
3376
631.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1504
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1488
24.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1607
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22776
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25159
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25272
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2825
210.9 IPS |
|
|
Object Detection (F16)
|
100% |
2851
212.8 IPS |
|
|
Object Detection (I8)
|
97% |
2758
205.9 IPS |
|
|
Face Detection (F32)
|
100% |
9485
112.8 IPS |
|
|
Face Detection (F16)
|
98% |
10833
128.8 IPS |
|
|
Face Detection (I8)
|
97% |
10706
127.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15995
124.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17049
132.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
18113
140.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41044
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47679
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46153
60.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8974
320.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9051
323.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8528
304.6 IPS |
|
|
Text Classification (F32)
|
100% |
2188
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3610
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3597
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
965
17.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1045
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1090
20.1 IPS |
