MacBook Pro (13-inch, 2022)
Geekbench ML Score
5936
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 06:49 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5031i) |
| 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 | 3.23 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% |
3494
653.8 IPS |
|
|
Image Classification (F16)
|
100% |
3488
652.7 IPS |
|
|
Image Classification (I8)
|
99% |
3189
596.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1548
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1618
27.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1559
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
21985
26.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24562
29.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25405
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2758
205.9 IPS |
|
|
Object Detection (F16)
|
100% |
2891
215.8 IPS |
|
|
Object Detection (I8)
|
97% |
2678
199.9 IPS |
|
|
Face Detection (F32)
|
100% |
9371
111.4 IPS |
|
|
Face Detection (F16)
|
98% |
8438
100.3 IPS |
|
|
Face Detection (I8)
|
97% |
7883
93.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16346
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17765
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
18363
142.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39741
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47497
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47566
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8209
293.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8259
295.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9062
323.6 IPS |
|
|
Text Classification (F32)
|
100% |
2024
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3299
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
2923
4.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
893
16.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1070
19.7 IPS |
