MacBook Pro (13-inch, 2022)
Geekbench ML Score
5932
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 06:29 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.38 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% |
3453
646.2 IPS |
|
|
Image Classification (F16)
|
100% |
3547
663.8 IPS |
|
|
Image Classification (I8)
|
99% |
3425
640.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1507
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1382
23.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1521
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23437
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24482
29.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25502
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2718
202.9 IPS |
|
|
Object Detection (F16)
|
100% |
2983
222.7 IPS |
|
|
Object Detection (I8)
|
97% |
2847
212.5 IPS |
|
|
Face Detection (F32)
|
100% |
9037
107.4 IPS |
|
|
Face Detection (F16)
|
98% |
10380
123.4 IPS |
|
|
Face Detection (I8)
|
97% |
10931
130.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16056
124.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17882
138.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17732
137.5 IPS |
|
|
Style Transfer (F32)
|
100% |
38309
50.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47749
62.8 IPS |
|
|
Style Transfer (I8)
|
100% |
47406
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7180
256.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9307
332.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8785
313.7 IPS |
|
|
Text Classification (F32)
|
100% |
2008
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
2937
4.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
842
15.5 IPS |
