MacBook Pro (13-inch, 2022)
Geekbench ML Score
5723
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 28 2025 06:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.17 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2223
416.0 IPS |
|
|
Image Classification (F16)
|
100% |
3222
603.0 IPS |
|
|
Image Classification (I8)
|
99% |
2855
534.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1402
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1363
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22516
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
23879
28.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
23852
28.9 IPS |
|
|
Object Detection (F32)
|
100% |
2696
201.3 IPS |
|
|
Object Detection (F16)
|
100% |
2833
211.5 IPS |
|
|
Object Detection (I8)
|
97% |
2843
212.2 IPS |
|
|
Face Detection (F32)
|
100% |
8665
103.0 IPS |
|
|
Face Detection (F16)
|
98% |
9997
118.9 IPS |
|
|
Face Detection (I8)
|
97% |
10109
120.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15934
123.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17472
135.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
16013
124.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40372
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47529
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47398
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7568
270.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10050
358.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8828
315.3 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2202
3.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3212
4.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
965
17.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1038
19.1 IPS |
