MacBook Pro (13-inch, 2022)
Geekbench ML Score
3333
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 11 2026 05:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.21 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% |
673
125.9 IPS |
|
|
Image Classification (F16)
|
100% |
2059
385.4 IPS |
|
|
Image Classification (I8)
|
99% |
2113
395.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
676
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
937
15.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
966
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4904
5.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
12046
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11862
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1121
83.7 IPS |
|
|
Object Detection (F16)
|
100% |
2037
152.0 IPS |
|
|
Object Detection (I8)
|
97% |
1160
86.6 IPS |
|
|
Face Detection (F32)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (F16)
|
97% |
5010
59.6 IPS |
|
|
Face Detection (I8)
|
96% |
5046
60.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4611
35.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9267
71.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9867
76.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16894
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27250
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
22835
30.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2974
106.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5191
185.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5294
189.1 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3485
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3453
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1276
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1581
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1251
23.0 IPS |
