MacBook Pro (13-inch, 2022)
Geekbench ML Score
5245
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2026 06:03 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.44 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% |
2739
512.5 IPS |
|
|
Image Classification (F16)
|
100% |
2622
490.6 IPS |
|
|
Image Classification (I8)
|
99% |
2905
543.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1353
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1322
22.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22416
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24937
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24919
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
2340
174.7 IPS |
|
|
Object Detection (F16)
|
100% |
1389
103.7 IPS |
|
|
Object Detection (I8)
|
97% |
2677
199.9 IPS |
|
|
Face Detection (F32)
|
100% |
9336
111.0 IPS |
|
|
Face Detection (F16)
|
98% |
10753
127.9 IPS |
|
|
Face Detection (I8)
|
97% |
8407
100.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8031
62.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17626
136.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
16622
128.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41037
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47363
62.3 IPS |
|
|
Style Transfer (I8)
|
100% |
47607
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5187
185.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7579
270.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6078
217.1 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3378
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3400
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
988
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
841
15.5 IPS |
|
|
Machine Translation (I8)
|
99% |
867
16.0 IPS |
