MacBook Pro (13-inch, 2022)
Geekbench ML Score
4889
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 07:23 PM |
| Views | 5 |
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 | 3.15 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% |
3325
622.2 IPS |
|
|
Image Classification (F16)
|
100% |
2216
414.7 IPS |
|
|
Image Classification (I8)
|
99% |
2437
456.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1094
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
995
16.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1123
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22923
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
23962
29.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25067
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2154
160.8 IPS |
|
|
Object Detection (F16)
|
100% |
1632
121.8 IPS |
|
|
Object Detection (I8)
|
97% |
2631
196.4 IPS |
|
|
Face Detection (F32)
|
100% |
8889
105.7 IPS |
|
|
Face Detection (F16)
|
98% |
9840
117.0 IPS |
|
|
Face Detection (I8)
|
97% |
10573
125.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15805
122.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17652
136.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11329
87.9 IPS |
|
|
Style Transfer (F32)
|
100% |
37222
49.0 IPS |
|
|
Style Transfer (F16)
|
100% |
41108
54.1 IPS |
|
|
Style Transfer (I8)
|
100% |
39416
51.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4184
149.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7080
252.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6891
246.1 IPS |
|
|
Text Classification (F32)
|
100% |
1753
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
2957
4.25 KIPS |
|
|
Text Classification (I8)
|
96% |
1806
2.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
825
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
835
15.4 IPS |
|
|
Machine Translation (I8)
|
99% |
735
13.5 IPS |
