MacBook Pro (13-inch, 2022)
Geekbench ML Score
5800
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 11:04 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 | 3.20 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% |
3426
641.2 IPS |
|
|
Image Classification (F16)
|
100% |
3129
585.6 IPS |
|
|
Image Classification (I8)
|
99% |
3538
662.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1216
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23387
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25169
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24889
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2827
211.0 IPS |
|
|
Object Detection (F16)
|
100% |
2670
199.3 IPS |
|
|
Object Detection (I8)
|
97% |
2774
207.1 IPS |
|
|
Face Detection (F32)
|
100% |
9365
111.4 IPS |
|
|
Face Detection (F16)
|
98% |
10249
121.9 IPS |
|
|
Face Detection (I8)
|
97% |
10359
123.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16475
127.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17247
133.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
18002
139.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41664
54.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47595
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47601
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7368
263.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6237
222.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7837
279.9 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3497
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3392
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
937
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
942
17.3 IPS |
|
|
Machine Translation (I8)
|
99% |
932
17.2 IPS |
