MacBook Pro (13-inch, 2022)
Geekbench ML Score
5943
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
3491
653.2 IPS |
|
|
Image Classification (F16)
|
100% |
3501
655.1 IPS |
|
|
Image Classification (I8)
|
99% |
2824
528.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1337
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1464
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1318
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
20680
25.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
23413
28.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24793
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
2794
208.6 IPS |
|
|
Object Detection (F16)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (I8)
|
97% |
2575
192.2 IPS |
|
|
Face Detection (F32)
|
100% |
9199
109.4 IPS |
|
|
Face Detection (F16)
|
98% |
10895
129.5 IPS |
|
|
Face Detection (I8)
|
97% |
10765
128.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16341
126.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17950
139.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17456
135.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41554
54.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47883
63.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47683
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7348
262.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8000
285.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6762
241.5 IPS |
|
|
Text Classification (F32)
|
100% |
2149
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3560
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3558
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1137
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1052
19.4 IPS |
