MacBook Pro (13-inch, 2022)
Geekbench ML Score
5669
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 07:25 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 2.88 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% |
3245
607.3 IPS |
|
|
Image Classification (F16)
|
100% |
3405
637.2 IPS |
|
|
Image Classification (I8)
|
99% |
2470
462.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1622
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1310
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23117
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24794
30.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
23800
28.8 IPS |
|
|
Object Detection (F32)
|
100% |
1653
123.4 IPS |
|
|
Object Detection (F16)
|
100% |
2457
183.4 IPS |
|
|
Object Detection (I8)
|
97% |
2177
162.5 IPS |
|
|
Face Detection (F32)
|
100% |
7422
88.3 IPS |
|
|
Face Detection (F16)
|
98% |
10564
125.6 IPS |
|
|
Face Detection (I8)
|
97% |
10412
123.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15498
120.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
15652
121.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17035
132.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40988
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
45955
60.4 IPS |
|
|
Style Transfer (I8)
|
100% |
44020
57.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9206
328.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8140
290.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10147
362.4 IPS |
|
|
Text Classification (F32)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3265
4.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3447
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1009
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
992
18.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1053
19.4 IPS |
