MacBook Pro (13-inch, 2022)
Geekbench ML Score
6057
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 18 2025 07:50 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3447
645.1 IPS |
|
|
Image Classification (F16)
|
100% |
3510
656.9 IPS |
|
|
Image Classification (I8)
|
99% |
3397
635.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1553
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1404
23.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1575
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22757
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25545
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25469
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2610
194.8 IPS |
|
|
Object Detection (F16)
|
100% |
2846
212.4 IPS |
|
|
Object Detection (I8)
|
97% |
2790
208.3 IPS |
|
|
Face Detection (F32)
|
100% |
8503
101.1 IPS |
|
|
Face Detection (F16)
|
98% |
10153
120.7 IPS |
|
|
Face Detection (I8)
|
97% |
9049
107.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15513
120.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
17958
139.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17475
135.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40461
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47459
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
45948
60.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9001
321.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8583
306.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9848
351.7 IPS |
|
|
Text Classification (F32)
|
100% |
2086
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3457
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3048
4.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1072
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1055
19.4 IPS |
