MacBook Pro (13-inch, 2022)
Geekbench ML Score
6081
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 11 2026 06:46 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 3.48 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% |
3292
616.1 IPS |
|
|
Image Classification (F16)
|
100% |
2357
441.1 IPS |
|
|
Image Classification (I8)
|
99% |
2620
490.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1040
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1436
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1383
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
19688
23.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
15039
18.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25237
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2742
204.7 IPS |
|
|
Object Detection (F16)
|
100% |
2944
219.8 IPS |
|
|
Object Detection (I8)
|
97% |
2876
214.7 IPS |
|
|
Face Detection (F32)
|
100% |
9614
114.3 IPS |
|
|
Face Detection (F16)
|
98% |
11115
132.2 IPS |
|
|
Face Detection (I8)
|
97% |
9131
108.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16449
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17225
133.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17467
135.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41928
55.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47841
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47799
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7180
256.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10189
363.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7335
262.0 IPS |
|
|
Text Classification (F32)
|
100% |
3705
5.32 KIPS |
|
|
Text Classification (F16)
|
100% |
5880
8.45 KIPS |
|
|
Text Classification (I8)
|
96% |
5598
8.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1138
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1172
21.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1124
20.7 IPS |
