MacBook Pro (13-inch, 2022)
Geekbench ML Score
5772
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 07:33 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.47 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% |
3356
628.0 IPS |
|
|
Image Classification (F16)
|
100% |
3333
623.7 IPS |
|
|
Image Classification (I8)
|
99% |
2528
473.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1514
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1628
27.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1157
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22959
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24845
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25133
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2761
206.1 IPS |
|
|
Object Detection (F16)
|
100% |
1766
131.9 IPS |
|
|
Object Detection (I8)
|
97% |
2677
199.9 IPS |
|
|
Face Detection (F32)
|
100% |
9227
109.7 IPS |
|
|
Face Detection (F16)
|
98% |
10623
126.3 IPS |
|
|
Face Detection (I8)
|
97% |
8249
98.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15724
121.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
12019
93.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17495
135.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41101
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47291
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
42692
56.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9421
336.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10276
367.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8052
287.6 IPS |
|
|
Text Classification (F32)
|
100% |
2082
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3356
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3468
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1068
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1035
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
990
18.2 IPS |
