MacBook Pro (13-inch, 2022)
Geekbench ML Score
6050
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 06:45 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.47 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% |
3404
637.0 IPS |
|
|
Image Classification (F16)
|
100% |
3499
654.7 IPS |
|
|
Image Classification (I8)
|
99% |
3539
662.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1301
21.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1425
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23475
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25237
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24791
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2834
211.6 IPS |
|
|
Object Detection (F16)
|
100% |
2930
218.7 IPS |
|
|
Object Detection (I8)
|
97% |
2611
195.0 IPS |
|
|
Face Detection (F32)
|
100% |
9313
110.7 IPS |
|
|
Face Detection (F16)
|
98% |
10767
128.0 IPS |
|
|
Face Detection (I8)
|
97% |
10884
129.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16221
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16823
130.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
17423
135.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40727
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47568
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47752
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8116
289.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9233
329.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6851
244.7 IPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3544
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3597
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1084
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
