MacBook Pro (13-inch, 2022)
Geekbench ML Score
3494
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 09:39 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 | 3.30 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% |
1148
214.9 IPS |
|
|
Image Classification (F16)
|
100% |
2005
375.1 IPS |
|
|
Image Classification (I8)
|
99% |
2238
418.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
686
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
896
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5561
6.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
13008
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12975
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1221
91.1 IPS |
|
|
Object Detection (F16)
|
100% |
2304
172.0 IPS |
|
|
Object Detection (I8)
|
97% |
1360
101.5 IPS |
|
|
Face Detection (F32)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
5518
65.6 IPS |
|
|
Face Detection (I8)
|
96% |
5152
61.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4873
37.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9949
77.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10469
81.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17087
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24270
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26314
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2999
107.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4513
161.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4547
162.4 IPS |
|
|
Text Classification (F32)
|
100% |
2167
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3295
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3296
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1297
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1566
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1301
23.9 IPS |
