MacBook Pro (13-inch, 2022)
Geekbench ML Score
6082
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 21 2025 06:31 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3411
638.2 IPS |
|
|
Image Classification (F16)
|
100% |
3163
591.8 IPS |
|
|
Image Classification (I8)
|
99% |
3402
636.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1556
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1520
25.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1626
27.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23368
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25363
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25363
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
2705
201.9 IPS |
|
|
Object Detection (F16)
|
100% |
2769
206.7 IPS |
|
|
Object Detection (I8)
|
97% |
2908
217.1 IPS |
|
|
Face Detection (F32)
|
100% |
9079
107.9 IPS |
|
|
Face Detection (F16)
|
98% |
10265
122.1 IPS |
|
|
Face Detection (I8)
|
97% |
10311
122.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16274
126.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17825
138.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
18071
140.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40540
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47267
62.2 IPS |
|
|
Style Transfer (I8)
|
100% |
47166
62.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6325
225.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7072
252.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10559
377.1 IPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3523
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3523
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1084
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1110
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1051
19.3 IPS |
