MacBook Pro (13-inch, 2022)
Geekbench ML Score
5705
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 09:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.21 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% |
3407
637.5 IPS |
|
|
Image Classification (F16)
|
100% |
3433
642.3 IPS |
|
|
Image Classification (I8)
|
99% |
2457
459.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1611
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1579
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23136
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25504
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25527
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2060
153.8 IPS |
|
|
Object Detection (F16)
|
100% |
2883
215.2 IPS |
|
|
Object Detection (I8)
|
97% |
2828
211.1 IPS |
|
|
Face Detection (F32)
|
100% |
9484
112.8 IPS |
|
|
Face Detection (F16)
|
98% |
7969
94.8 IPS |
|
|
Face Detection (I8)
|
97% |
9073
107.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
14133
109.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17428
135.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
17604
136.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40842
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
47954
63.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47709
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9566
341.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10405
371.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7263
259.4 IPS |
|
|
Text Classification (F32)
|
100% |
1146
1.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1623
2.33 KIPS |
|
|
Text Classification (I8)
|
96% |
3510
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1125
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1101
20.3 IPS |
