MacBook Pro (13-inch, 2022)
Geekbench ML Score
5560
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 29 2025 06:21 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.46 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% |
3442
644.1 IPS |
|
|
Image Classification (F16)
|
100% |
3025
566.1 IPS |
|
|
Image Classification (I8)
|
99% |
3578
669.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1201
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1356
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23600
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25597
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
21874
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
2744
204.9 IPS |
|
|
Object Detection (F16)
|
100% |
2949
220.2 IPS |
|
|
Object Detection (I8)
|
97% |
2873
214.5 IPS |
|
|
Face Detection (F32)
|
100% |
9060
107.7 IPS |
|
|
Face Detection (F16)
|
98% |
7978
94.9 IPS |
|
|
Face Detection (I8)
|
97% |
5170
61.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15984
124.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17512
135.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17615
136.6 IPS |
|
|
Style Transfer (F32)
|
100% |
35049
46.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47689
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47592
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7191
256.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4601
164.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7515
268.4 IPS |
|
|
Text Classification (F32)
|
100% |
2143
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3531
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3520
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
911
16.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1057
19.4 IPS |
