MacBook Pro (13-inch, 2022)
Geekbench ML Score
5464
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 13 2025 07:27 PM |
| 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 | 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% |
3397
635.7 IPS |
|
|
Image Classification (F16)
|
100% |
3528
660.1 IPS |
|
|
Image Classification (I8)
|
99% |
2664
498.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1245
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1143
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1360
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23485
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
23592
28.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25409
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2751
205.4 IPS |
|
|
Object Detection (F16)
|
100% |
2051
153.1 IPS |
|
|
Object Detection (I8)
|
97% |
2039
152.3 IPS |
|
|
Face Detection (F32)
|
100% |
8930
106.2 IPS |
|
|
Face Detection (F16)
|
98% |
10011
119.0 IPS |
|
|
Face Detection (I8)
|
97% |
10582
125.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
11569
89.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
18124
140.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
13132
101.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41822
55.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47550
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
43855
57.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7124
254.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7619
272.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8194
292.6 IPS |
|
|
Text Classification (F32)
|
100% |
2060
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
2989
4.30 KIPS |
|
|
Text Classification (I8)
|
96% |
3297
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
850
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
966
17.8 IPS |
|
|
Machine Translation (I8)
|
99% |
795
14.6 IPS |
