MacBook Pro (13-inch, 2022)
Geekbench ML Score
6063
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 04:46 PM |
| Views | 4 |
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% |
3257
609.5 IPS |
|
|
Image Classification (F16)
|
100% |
3409
638.0 IPS |
|
|
Image Classification (I8)
|
99% |
3402
636.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1560
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1492
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23052
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
25069
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
25261
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2896
216.2 IPS |
|
|
Object Detection (I8)
|
97% |
2782
207.7 IPS |
|
|
Face Detection (F32)
|
100% |
8491
101.0 IPS |
|
|
Face Detection (F16)
|
98% |
9926
118.0 IPS |
|
|
Face Detection (I8)
|
97% |
10196
121.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16100
124.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17155
133.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
17580
136.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40388
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47460
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
47642
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7826
279.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7736
276.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10264
366.5 IPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3454
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3546
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1086
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1020
18.8 IPS |
