MacBook Pro (13-inch, 2022)
Geekbench ML Score
5630
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2025 06:48 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3413
638.6 IPS |
|
|
Image Classification (F16)
|
100% |
3382
632.9 IPS |
|
|
Image Classification (I8)
|
99% |
3429
641.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1386
23.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1296
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23296
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
25030
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
19316
23.4 IPS |
|
|
Object Detection (F32)
|
100% |
2469
184.3 IPS |
|
|
Object Detection (F16)
|
100% |
2909
217.1 IPS |
|
|
Object Detection (I8)
|
97% |
2585
193.0 IPS |
|
|
Face Detection (F32)
|
100% |
7140
84.9 IPS |
|
|
Face Detection (F16)
|
98% |
6864
81.6 IPS |
|
|
Face Detection (I8)
|
97% |
10062
119.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15403
119.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
13043
101.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17655
136.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40396
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
46943
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46495
61.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6980
249.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10082
360.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9094
324.8 IPS |
|
|
Text Classification (F32)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3491
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3526
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
848
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
870
16.0 IPS |
