MacBook Pro (13-inch, 2022)
Geekbench ML Score
6016
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 07:01 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.48 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% |
3376
631.7 IPS |
|
|
Image Classification (F16)
|
100% |
3510
656.8 IPS |
|
|
Image Classification (I8)
|
99% |
3509
656.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1288
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1140
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1211
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23441
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25759
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25449
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2821
210.6 IPS |
|
|
Object Detection (F16)
|
100% |
2786
208.0 IPS |
|
|
Object Detection (I8)
|
97% |
2753
205.5 IPS |
|
|
Face Detection (F32)
|
100% |
8851
105.2 IPS |
|
|
Face Detection (F16)
|
98% |
9725
115.6 IPS |
|
|
Face Detection (I8)
|
97% |
10694
127.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16304
126.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17845
138.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17620
136.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40348
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47808
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47938
63.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7469
266.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8502
303.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10594
378.4 IPS |
|
|
Text Classification (F32)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3425
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3436
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1127
20.7 IPS |
