MacBook Pro (13-inch, 2022)
Geekbench ML Score
5358
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 07:15 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 3.47 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% |
3380
632.5 IPS |
|
|
Image Classification (F16)
|
100% |
3498
654.5 IPS |
|
|
Image Classification (I8)
|
99% |
3467
648.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1130
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1353
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1317
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23283
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25225
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
23922
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
1539
114.9 IPS |
|
|
Object Detection (F16)
|
100% |
2340
174.7 IPS |
|
|
Object Detection (I8)
|
97% |
2816
210.2 IPS |
|
|
Face Detection (F32)
|
100% |
8840
105.1 IPS |
|
|
Face Detection (F16)
|
98% |
10060
119.6 IPS |
|
|
Face Detection (I8)
|
97% |
9054
107.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9460
73.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17308
134.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
16994
131.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40570
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
33267
43.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24400
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7459
266.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7622
272.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7623
272.2 IPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3473
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3444
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1042
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
860
15.8 IPS |
