MacBook Pro (13-inch, 2022)
Geekbench ML Score
5467
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 07:30 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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 | 3.26 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% |
2849
533.1 IPS |
|
|
Image Classification (F16)
|
100% |
2795
522.9 IPS |
|
|
Image Classification (I8)
|
99% |
2777
519.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
937
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1144
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1111
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
21795
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24537
29.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24689
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2610
194.8 IPS |
|
|
Object Detection (F16)
|
100% |
2624
195.9 IPS |
|
|
Object Detection (I8)
|
97% |
2369
176.8 IPS |
|
|
Face Detection (F32)
|
100% |
4511
53.6 IPS |
|
|
Face Detection (F16)
|
98% |
10123
120.4 IPS |
|
|
Face Detection (I8)
|
97% |
9650
114.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15668
121.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
16429
127.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
14850
115.2 IPS |
|
|
Style Transfer (F32)
|
100% |
35436
46.6 IPS |
|
|
Style Transfer (F16)
|
100% |
44160
58.1 IPS |
|
|
Style Transfer (I8)
|
100% |
38972
51.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6354
226.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4805
171.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9094
324.8 IPS |
|
|
Text Classification (F32)
|
100% |
3470
4.99 KIPS |
|
|
Text Classification (F16)
|
100% |
4910
7.06 KIPS |
|
|
Text Classification (I8)
|
96% |
5946
8.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
1047
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
997
18.4 IPS |
|
|
Machine Translation (I8)
|
99% |
799
14.7 IPS |
