MacBook Pro (13-inch, 2022)
Geekbench ML Score
6098
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 27 2026 06:32 PM |
| Views | 5 |
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 | 3.48 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% |
3445
644.6 IPS |
|
|
Image Classification (F16)
|
100% |
3473
649.8 IPS |
|
|
Image Classification (I8)
|
99% |
3538
662.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1255
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1471
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22396
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25310
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25356
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
2718
202.9 IPS |
|
|
Object Detection (F16)
|
100% |
2687
200.6 IPS |
|
|
Object Detection (I8)
|
97% |
2796
208.8 IPS |
|
|
Face Detection (F32)
|
100% |
9644
114.7 IPS |
|
|
Face Detection (F16)
|
98% |
11106
132.0 IPS |
|
|
Face Detection (I8)
|
97% |
10709
127.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15621
121.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
16789
130.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17835
138.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41291
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47429
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
45384
59.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9081
324.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8670
309.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8560
305.7 IPS |
|
|
Text Classification (F32)
|
100% |
2494
3.58 KIPS |
|
|
Text Classification (F16)
|
100% |
2439
3.51 KIPS |
|
|
Text Classification (I8)
|
96% |
4119
5.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1026
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1153
21.2 IPS |
