MacBook Pro (13-inch, 2022)
Geekbench ML Score
3757
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 17 2025 07:04 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.46 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% |
1354
253.4 IPS |
|
|
Image Classification (F16)
|
100% |
2438
456.2 IPS |
|
|
Image Classification (I8)
|
99% |
2407
450.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1135
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1115
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6553
7.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
14440
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14512
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1429
106.7 IPS |
|
|
Object Detection (F16)
|
100% |
2434
181.7 IPS |
|
|
Object Detection (I8)
|
97% |
1436
107.2 IPS |
|
|
Face Detection (F32)
|
100% |
2823
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
5639
67.1 IPS |
|
|
Face Detection (I8)
|
97% |
5584
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5407
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10863
84.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8682
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15805
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
25507
33.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28127
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3876
138.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5233
186.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4686
167.4 IPS |
|
|
Text Classification (F32)
|
100% |
2052
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3459
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3075
4.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1618
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1321
24.3 IPS |
