MacBook Pro (13-inch, 2022)
Geekbench ML Score
5272
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 15 2026 07:07 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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% |
3509
656.6 IPS |
|
|
Image Classification (F16)
|
100% |
3434
642.6 IPS |
|
|
Image Classification (I8)
|
99% |
1040
194.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1021
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
931
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1351
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22377
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25159
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24968
30.2 IPS |
|
|
Object Detection (F32)
|
100% |
1749
130.6 IPS |
|
|
Object Detection (F16)
|
100% |
2987
223.0 IPS |
|
|
Object Detection (I8)
|
97% |
2851
212.9 IPS |
|
|
Face Detection (F32)
|
100% |
9424
112.1 IPS |
|
|
Face Detection (F16)
|
98% |
9726
115.6 IPS |
|
|
Face Detection (I8)
|
97% |
11051
131.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15065
116.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17619
136.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
17554
136.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40565
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47972
63.1 IPS |
|
|
Style Transfer (I8)
|
100% |
45584
60.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6831
244.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7708
275.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7553
269.7 IPS |
|
|
Text Classification (F32)
|
100% |
905
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
3544
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3560
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
905
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
903
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
873
16.1 IPS |
