MacBook Pro (13-inch, 2022)
Geekbench ML Score
5657
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 13 2026 06:56 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 2.16 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% |
3301
617.8 IPS |
|
|
Image Classification (F16)
|
100% |
3225
603.5 IPS |
|
|
Image Classification (I8)
|
99% |
3261
610.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1275
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1249
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1205
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22002
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
23864
28.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
22011
26.7 IPS |
|
|
Object Detection (F32)
|
100% |
2819
210.5 IPS |
|
|
Object Detection (F16)
|
100% |
2821
210.6 IPS |
|
|
Object Detection (I8)
|
97% |
2636
196.8 IPS |
|
|
Face Detection (F32)
|
100% |
9008
107.1 IPS |
|
|
Face Detection (F16)
|
98% |
9304
110.6 IPS |
|
|
Face Detection (I8)
|
97% |
9780
116.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16421
127.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
18359
142.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17847
138.4 IPS |
|
|
Style Transfer (F32)
|
100% |
37689
49.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47548
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
46892
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6247
223.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8189
292.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8494
303.3 IPS |
|
|
Text Classification (F32)
|
100% |
2151
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2474
3.56 KIPS |
|
|
Text Classification (I8)
|
96% |
3408
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
945
17.4 IPS |
|
|
Machine Translation (I8)
|
99% |
844
15.5 IPS |
