MacBook Pro (13-inch, 2022)
Geekbench ML Score
5583
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 07:39 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
3378
632.2 IPS |
|
|
Image Classification (F16)
|
100% |
3335
624.0 IPS |
|
|
Image Classification (I8)
|
99% |
3427
641.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1303
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1217
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1125
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22991
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
25225
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
23958
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
2842
212.1 IPS |
|
|
Object Detection (F16)
|
100% |
2439
182.1 IPS |
|
|
Object Detection (I8)
|
97% |
2167
161.7 IPS |
|
|
Face Detection (F32)
|
100% |
9294
110.5 IPS |
|
|
Face Detection (F16)
|
98% |
10592
125.9 IPS |
|
|
Face Detection (I8)
|
97% |
9058
107.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15724
121.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17427
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17541
136.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40181
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
48021
63.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47758
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5572
199.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7617
272.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7638
272.8 IPS |
|
|
Text Classification (F32)
|
100% |
2028
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3356
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3359
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
842
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
830
15.3 IPS |
