MacBook Pro (13-inch, 2022)
Geekbench ML Score
5597
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:51 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.48 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% |
3356
628.1 IPS |
|
|
Image Classification (F16)
|
100% |
3316
620.5 IPS |
|
|
Image Classification (I8)
|
99% |
3352
627.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1204
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1185
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1253
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22978
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24534
29.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25118
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2841
212.1 IPS |
|
|
Object Detection (F16)
|
100% |
2793
208.5 IPS |
|
|
Object Detection (I8)
|
97% |
2854
213.1 IPS |
|
|
Face Detection (F32)
|
100% |
9006
107.1 IPS |
|
|
Face Detection (F16)
|
98% |
9868
117.3 IPS |
|
|
Face Detection (I8)
|
97% |
10143
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15630
121.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
16728
129.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17896
138.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40823
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
46897
61.7 IPS |
|
|
Style Transfer (I8)
|
100% |
46799
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7003
250.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7254
259.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7710
275.3 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3427
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3348
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
678
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
768
14.1 IPS |
|
|
Machine Translation (I8)
|
99% |
711
13.1 IPS |
