MacBook Pro (13-inch, 2022)
Geekbench ML Score
2777
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 13 2026 06:52 PM |
| Views | 13 |
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 | 3.47 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% |
1214
227.1 IPS |
|
|
Image Classification (F16)
|
100% |
2385
446.4 IPS |
|
|
Image Classification (I8)
|
99% |
2175
407.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
669
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
896
15.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
896
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2925
3.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
7873
9.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
4412
5.34 IPS |
|
|
Object Detection (F32)
|
100% |
954
71.2 IPS |
|
|
Object Detection (F16)
|
100% |
1873
139.9 IPS |
|
|
Object Detection (I8)
|
97% |
1024
76.4 IPS |
|
|
Face Detection (F32)
|
100% |
2271
27.0 IPS |
|
|
Face Detection (F16)
|
97% |
4293
51.0 IPS |
|
|
Face Detection (I8)
|
96% |
3500
41.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2947
22.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8526
66.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8056
62.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15098
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
23639
31.1 IPS |
|
|
Style Transfer (I8)
|
100% |
22496
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2457
87.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4033
144.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4068
145.3 IPS |
|
|
Text Classification (F32)
|
100% |
1825
2.62 KIPS |
|
|
Text Classification (F16)
|
100% |
2909
4.18 KIPS |
|
|
Text Classification (I8)
|
96% |
2838
4.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
921
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1146
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
909
16.7 IPS |
