MacBook Pro (13-inch, 2022)
Geekbench ML Score
6096
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 29 2025 06:32 PM |
| Views | 7 |
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 | 3.04 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% |
3390
634.4 IPS |
|
|
Image Classification (F16)
|
100% |
3539
662.3 IPS |
|
|
Image Classification (I8)
|
99% |
3333
623.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1182
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1222
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1578
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23129
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25307
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25488
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2822
210.7 IPS |
|
|
Object Detection (F16)
|
100% |
2903
216.7 IPS |
|
|
Object Detection (I8)
|
97% |
2848
212.7 IPS |
|
|
Face Detection (F32)
|
100% |
8670
103.1 IPS |
|
|
Face Detection (F16)
|
98% |
9794
116.5 IPS |
|
|
Face Detection (I8)
|
97% |
10293
122.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16237
125.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17471
135.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
18016
139.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41069
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47615
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47321
62.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9741
347.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10199
364.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10432
372.6 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3467
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3513
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1012
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
984
18.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1028
18.9 IPS |
