MacBook Pro (13-inch, 2022)
Geekbench ML Score
3848
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 04 2025 06:54 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 3.48 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% |
1377
257.7 IPS |
|
|
Image Classification (F16)
|
100% |
2408
450.7 IPS |
|
|
Image Classification (I8)
|
99% |
2397
448.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
770
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1033
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1145
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6586
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
14572
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14413
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1396
104.2 IPS |
|
|
Object Detection (F16)
|
100% |
2289
170.9 IPS |
|
|
Object Detection (I8)
|
97% |
1371
102.4 IPS |
|
|
Face Detection (F32)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5880
69.9 IPS |
|
|
Face Detection (I8)
|
96% |
5890
70.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5630
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10931
84.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10916
84.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17544
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27839
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28225
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4119
147.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5191
185.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4973
177.6 IPS |
|
|
Text Classification (F32)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3503
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3558
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1343
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
