MacBook Pro (13-inch, 2022)
Geekbench ML Score
3558
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2026 07:13 PM |
| Views | 13 |
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 | 3.10 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1058
198.1 IPS |
|
|
Image Classification (F16)
|
100% |
2227
416.7 IPS |
|
|
Image Classification (I8)
|
99% |
1858
347.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
896
15.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
975
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5809
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
12452
15.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13248
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1292
96.5 IPS |
|
|
Object Detection (F16)
|
100% |
2445
182.5 IPS |
|
|
Object Detection (I8)
|
97% |
1343
100.3 IPS |
|
|
Face Detection (F32)
|
100% |
3007
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5140
61.1 IPS |
|
|
Face Detection (I8)
|
96% |
4699
55.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5210
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8608
66.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9408
73.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17691
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26911
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27364
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3824
136.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5265
188.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5280
188.6 IPS |
|
|
Text Classification (F32)
|
100% |
2193
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3690
5.30 KIPS |
|
|
Text Classification (I8)
|
96% |
3531
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1671
30.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1336
24.6 IPS |
