MacBook Pro (13-inch, 2022)
Geekbench ML Score
6041
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 02 2026 07:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.24 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% |
1965
367.7 IPS |
|
|
Image Classification (F16)
|
100% |
1873
350.6 IPS |
|
|
Image Classification (I8)
|
99% |
3492
653.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1273
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1380
23.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1437
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23019
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25026
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
23931
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2822
210.7 IPS |
|
|
Object Detection (F16)
|
100% |
2686
200.5 IPS |
|
|
Object Detection (I8)
|
97% |
1714
128.0 IPS |
|
|
Face Detection (F32)
|
100% |
9644
114.7 IPS |
|
|
Face Detection (F16)
|
98% |
10948
130.2 IPS |
|
|
Face Detection (I8)
|
97% |
10467
124.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
13769
106.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17655
136.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
16366
126.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40395
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47312
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
46344
61.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9315
332.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8101
289.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9999
357.1 IPS |
|
|
Text Classification (F32)
|
100% |
3787
5.44 KIPS |
|
|
Text Classification (F16)
|
100% |
5489
7.89 KIPS |
|
|
Text Classification (I8)
|
96% |
5600
8.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1154
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1117
20.6 IPS |
