MacBook Pro (13-inch, 2022)
Geekbench ML Score
5629
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 08 2026 06:50 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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% |
3418
639.6 IPS |
|
|
Image Classification (F16)
|
100% |
3447
645.1 IPS |
|
|
Image Classification (I8)
|
99% |
3434
642.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1241
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1080
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
13963
16.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25095
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25263
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2863
213.8 IPS |
|
|
Object Detection (F16)
|
100% |
2458
183.5 IPS |
|
|
Object Detection (I8)
|
97% |
1660
123.9 IPS |
|
|
Face Detection (F32)
|
100% |
9755
116.0 IPS |
|
|
Face Detection (F16)
|
98% |
11156
132.7 IPS |
|
|
Face Detection (I8)
|
97% |
11297
134.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10300
79.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8752
67.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17383
134.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41310
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47886
63.0 IPS |
|
|
Style Transfer (I8)
|
100% |
44854
59.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9785
349.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6974
249.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7380
263.6 IPS |
|
|
Text Classification (F32)
|
100% |
2166
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3661
5.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3559
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1251
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1264
23.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1060
19.5 IPS |
