MacBook Pro (13-inch, 2022)
Geekbench ML Score
5674
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2025 06:59 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 | 3.45 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% |
3507
656.3 IPS |
|
|
Image Classification (F16)
|
100% |
3570
668.1 IPS |
|
|
Image Classification (I8)
|
99% |
3586
671.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1568
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1544
25.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1585
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20954
25.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25133
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
20871
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
1285
95.9 IPS |
|
|
Object Detection (F16)
|
100% |
2054
153.4 IPS |
|
|
Object Detection (I8)
|
97% |
2713
202.6 IPS |
|
|
Face Detection (F32)
|
100% |
8683
103.2 IPS |
|
|
Face Detection (F16)
|
98% |
9852
117.1 IPS |
|
|
Face Detection (I8)
|
97% |
6884
81.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16529
128.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17762
137.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17420
135.1 IPS |
|
|
Style Transfer (F32)
|
100% |
34324
45.1 IPS |
|
|
Style Transfer (F16)
|
100% |
25047
32.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47673
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9848
351.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9447
337.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7897
282.0 IPS |
|
|
Text Classification (F32)
|
100% |
2120
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3569
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3504
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1053
19.4 IPS |
