MacBook Pro (13-inch, 2022)
Geekbench ML Score
2804
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 07:19 PM |
| Views | 2 |
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 | 3.13 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% |
942
176.2 IPS |
|
|
Image Classification (F16)
|
100% |
1638
306.4 IPS |
|
|
Image Classification (I8)
|
99% |
1622
303.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
596
9.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
734
12.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
764
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4468
5.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
11088
13.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11321
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1033
77.1 IPS |
|
|
Object Detection (F16)
|
100% |
1935
144.5 IPS |
|
|
Object Detection (I8)
|
97% |
1071
80.0 IPS |
|
|
Face Detection (F32)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (F16)
|
97% |
3611
42.9 IPS |
|
|
Face Detection (I8)
|
96% |
3692
43.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3792
29.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8733
67.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7617
59.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12959
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
21484
28.3 IPS |
|
|
Style Transfer (I8)
|
100% |
21244
27.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2634
94.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3985
142.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3936
140.6 IPS |
|
|
Text Classification (F32)
|
100% |
1804
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
3137
4.51 KIPS |
|
|
Text Classification (I8)
|
96% |
3089
4.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
818
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1141
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
866
15.9 IPS |
