MacBook Pro (13-inch, 2022)
Geekbench ML Score
5519
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 07:16 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
3431
641.9 IPS |
|
|
Image Classification (F16)
|
100% |
3515
657.7 IPS |
|
|
Image Classification (I8)
|
99% |
3395
635.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1419
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1479
24.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1228
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23287
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25581
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25532
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
1682
125.6 IPS |
|
|
Object Detection (F16)
|
100% |
2906
216.9 IPS |
|
|
Object Detection (I8)
|
97% |
2825
210.9 IPS |
|
|
Face Detection (F32)
|
100% |
9452
112.4 IPS |
|
|
Face Detection (F16)
|
98% |
8081
96.1 IPS |
|
|
Face Detection (I8)
|
97% |
5266
62.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16516
128.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17922
139.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
15503
120.2 IPS |
|
|
Style Transfer (F32)
|
100% |
35906
47.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47858
63.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47654
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5606
200.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7368
263.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7113
254.0 IPS |
|
|
Text Classification (F32)
|
100% |
2097
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3437
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3474
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
925
17.0 IPS |
|
|
Machine Translation (I8)
|
99% |
893
16.4 IPS |
