MacBook Pro (13-inch, 2022)
Geekbench ML Score
3636
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 10:59 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.38 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% |
1052
196.9 IPS |
|
|
Image Classification (F16)
|
100% |
2127
398.0 IPS |
|
|
Image Classification (I8)
|
99% |
2333
436.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
999
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1146
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6642
8.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
14324
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14380
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1328
99.1 IPS |
|
|
Object Detection (F16)
|
100% |
2316
172.9 IPS |
|
|
Object Detection (I8)
|
97% |
1378
102.9 IPS |
|
|
Face Detection (F32)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5762
68.5 IPS |
|
|
Face Detection (I8)
|
96% |
5264
62.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4982
38.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9871
76.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8333
64.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12596
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
25068
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27483
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4144
148.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4667
166.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5076
181.3 IPS |
|
|
Text Classification (F32)
|
100% |
2169
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3493
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3501
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1311
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1321
24.3 IPS |
