MacBook Pro (13-inch, 2022)
Geekbench ML Score
3716
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 04 2025 05:11 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.29 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% |
1256
235.0 IPS |
|
|
Image Classification (F16)
|
100% |
2365
442.6 IPS |
|
|
Image Classification (I8)
|
99% |
2444
457.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
746
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1128
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1149
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6231
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
13897
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14519
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1374
102.6 IPS |
|
|
Object Detection (F16)
|
100% |
2070
154.5 IPS |
|
|
Object Detection (I8)
|
97% |
1428
106.6 IPS |
|
|
Face Detection (F32)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5488
65.3 IPS |
|
|
Face Detection (I8)
|
97% |
5078
60.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4551
35.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10720
83.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10911
84.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18049
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
22625
29.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28480
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4062
145.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5101
182.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4318
154.2 IPS |
|
|
Text Classification (F32)
|
100% |
2083
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3470
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3492
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1385
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1609
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1364
25.1 IPS |
