MacBook Pro (13-inch, 2022)
Geekbench ML Score
5521
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 14 2025 02:19 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.46 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% |
3422
640.3 IPS |
|
|
Image Classification (F16)
|
100% |
3449
645.3 IPS |
|
|
Image Classification (I8)
|
99% |
3397
635.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1354
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1186
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1150
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22707
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25559
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25535
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2872
214.4 IPS |
|
|
Object Detection (F16)
|
100% |
2915
217.6 IPS |
|
|
Object Detection (I8)
|
97% |
2812
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
8662
103.0 IPS |
|
|
Face Detection (F16)
|
98% |
10861
129.1 IPS |
|
|
Face Detection (I8)
|
97% |
10818
128.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16914
131.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17757
137.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
16960
131.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41549
54.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47057
61.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47631
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7437
265.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10467
373.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6549
233.9 IPS |
|
|
Text Classification (F32)
|
100% |
705
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3570
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3424
4.92 KIPS |
|
|
Machine Translation (F32)
|
0% |
663
12.2 IPS |
|
|
Machine Translation (F16)
|
0% |
727
13.4 IPS |
|
|
Machine Translation (I8)
|
0% |
692
12.7 IPS |
