MacBook Pro (13-inch, 2022)
Geekbench ML Score
5118
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 08:14 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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% |
3475
650.2 IPS |
|
|
Image Classification (F16)
|
100% |
3484
652.0 IPS |
|
|
Image Classification (I8)
|
99% |
3438
643.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1249
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1138
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23325
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25238
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25424
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2488
185.7 IPS |
|
|
Object Detection (F16)
|
100% |
1313
98.0 IPS |
|
|
Object Detection (I8)
|
97% |
1784
133.2 IPS |
|
|
Face Detection (F32)
|
100% |
7125
84.7 IPS |
|
|
Face Detection (F16)
|
98% |
10043
119.4 IPS |
|
|
Face Detection (I8)
|
97% |
10844
128.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15655
121.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
16465
127.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
16141
125.2 IPS |
|
|
Style Transfer (F32)
|
100% |
39946
52.5 IPS |
|
|
Style Transfer (F16)
|
100% |
48086
63.3 IPS |
|
|
Style Transfer (I8)
|
100% |
41319
54.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6656
237.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7915
282.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9850
351.8 IPS |
|
|
Text Classification (F32)
|
100% |
813
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1424
2.05 KIPS |
|
|
Text Classification (I8)
|
96% |
1821
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
962
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1122
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1068
19.6 IPS |
