MacBook Pro (13-inch, 2022)
Geekbench ML Score
6136
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 01 2026 08:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.29 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% |
3182
595.5 IPS |
|
|
Image Classification (F16)
|
100% |
3135
586.7 IPS |
|
|
Image Classification (I8)
|
99% |
3500
655.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1257
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1303
21.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1308
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22803
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25070
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24787
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2624
195.9 IPS |
|
|
Object Detection (F16)
|
100% |
2644
197.4 IPS |
|
|
Object Detection (I8)
|
97% |
2743
204.8 IPS |
|
|
Face Detection (F32)
|
100% |
9022
107.3 IPS |
|
|
Face Detection (F16)
|
98% |
10619
126.3 IPS |
|
|
Face Detection (I8)
|
97% |
10452
124.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16157
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
18122
140.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17431
135.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40629
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47796
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47783
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6866
245.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10301
367.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7022
250.8 IPS |
|
|
Text Classification (F32)
|
100% |
3594
5.17 KIPS |
|
|
Text Classification (F16)
|
100% |
5560
7.99 KIPS |
|
|
Text Classification (I8)
|
96% |
5594
8.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
974
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
930
17.1 IPS |
|
|
Machine Translation (I8)
|
99% |
904
16.6 IPS |
