MacBook Pro (13-inch, 2022)
Geekbench ML Score
3798
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 06:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.30 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% |
1359
254.3 IPS |
|
|
Image Classification (F16)
|
100% |
2034
380.6 IPS |
|
|
Image Classification (I8)
|
99% |
2405
450.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
989
16.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1149
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6599
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14552
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14402
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1382
103.2 IPS |
|
|
Object Detection (F16)
|
100% |
2263
168.9 IPS |
|
|
Object Detection (I8)
|
97% |
1322
98.7 IPS |
|
|
Face Detection (F32)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
5760
68.5 IPS |
|
|
Face Detection (I8)
|
97% |
5877
69.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5520
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11125
86.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11038
85.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18048
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28354
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28480
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4168
148.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5325
190.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5060
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
2007
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3340
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3413
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1352
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1678
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1396
25.7 IPS |
