MacBook Pro (13-inch, 2022)
Geekbench ML Score
5910
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2026 06:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.30 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% |
2421
452.9 IPS |
|
|
Image Classification (F16)
|
100% |
3544
663.1 IPS |
|
|
Image Classification (I8)
|
99% |
3430
641.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1326
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1153
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
13286
16.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24395
29.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
25176
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
2749
205.2 IPS |
|
|
Object Detection (F16)
|
100% |
2534
189.2 IPS |
|
|
Object Detection (I8)
|
97% |
1685
125.8 IPS |
|
|
Face Detection (F32)
|
100% |
9584
114.0 IPS |
|
|
Face Detection (F16)
|
98% |
11004
130.8 IPS |
|
|
Face Detection (I8)
|
97% |
10992
130.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10896
84.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8294
64.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17144
133.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40720
53.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47922
63.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47683
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9785
349.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6837
244.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7715
275.5 IPS |
|
|
Text Classification (F32)
|
100% |
3822
5.49 KIPS |
|
|
Text Classification (F16)
|
100% |
6141
8.83 KIPS |
|
|
Text Classification (I8)
|
96% |
6179
8.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1254
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1251
23.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1136
20.9 IPS |
