MacBook Pro (13-inch, 2022)
Geekbench ML Score
5925
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 30 2026 07:17 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.30 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% |
2341
438.0 IPS |
|
|
Image Classification (F16)
|
100% |
3446
644.8 IPS |
|
|
Image Classification (I8)
|
99% |
3452
646.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1434
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1099
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
21486
26.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25150
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25082
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2868
214.1 IPS |
|
|
Object Detection (F16)
|
100% |
1728
129.0 IPS |
|
|
Object Detection (I8)
|
97% |
2362
176.4 IPS |
|
|
Face Detection (F32)
|
100% |
9294
110.5 IPS |
|
|
Face Detection (F16)
|
98% |
10529
125.2 IPS |
|
|
Face Detection (I8)
|
97% |
10834
128.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10350
80.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8759
67.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
17455
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41026
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
48083
63.2 IPS |
|
|
Style Transfer (I8)
|
100% |
44914
59.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9952
355.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7450
266.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7497
267.7 IPS |
|
|
Text Classification (F32)
|
100% |
3839
5.52 KIPS |
|
|
Text Classification (F16)
|
100% |
5140
7.39 KIPS |
|
|
Text Classification (I8)
|
96% |
5941
8.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1219
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1084
19.9 IPS |
