MacBook Pro (13-inch, 2022)
Geekbench ML Score
3090
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 15 2026 07:04 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 3.20 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% |
790
147.8 IPS |
|
|
Image Classification (F16)
|
100% |
2005
375.2 IPS |
|
|
Image Classification (I8)
|
99% |
1998
373.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
726
12.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
937
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3943
4.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
10442
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
10766
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1077
80.4 IPS |
|
|
Object Detection (F16)
|
100% |
2022
150.9 IPS |
|
|
Object Detection (I8)
|
97% |
1156
86.3 IPS |
|
|
Face Detection (F32)
|
100% |
2486
29.6 IPS |
|
|
Face Detection (F16)
|
97% |
5359
63.7 IPS |
|
|
Face Detection (I8)
|
96% |
4781
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4967
38.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7367
57.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9452
73.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16609
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26872
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
26442
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3244
115.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4172
149.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4626
165.2 IPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3035
4.36 KIPS |
|
|
Text Classification (I8)
|
96% |
3277
4.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
769
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
926
17.0 IPS |
