MacBook Pro (13-inch, 2022)
Geekbench ML Score
3270
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 03 2026 07:43 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.08 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% |
976
182.6 IPS |
|
|
Image Classification (F16)
|
100% |
1803
337.4 IPS |
|
|
Image Classification (I8)
|
99% |
2102
393.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
583
9.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
793
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
696
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4507
5.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
10566
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12007
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1176
87.8 IPS |
|
|
Object Detection (F16)
|
100% |
2161
161.3 IPS |
|
|
Object Detection (I8)
|
97% |
1217
90.8 IPS |
|
|
Face Detection (F32)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (F16)
|
97% |
5057
60.1 IPS |
|
|
Face Detection (I8)
|
96% |
4604
54.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5125
39.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9425
73.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10377
80.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17439
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27378
36.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27736
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3874
138.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5315
189.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5266
188.1 IPS |
|
|
Text Classification (F32)
|
100% |
1963
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3452
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3458
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1268
23.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1066
19.6 IPS |
