MacBook Pro (13-inch, 2022)
Geekbench ML Score
3675
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 21 2025 06:29 PM |
| Views | 4 |
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 | 3.08 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1206
225.6 IPS |
|
|
Image Classification (F16)
|
100% |
2170
406.0 IPS |
|
|
Image Classification (I8)
|
99% |
2161
404.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
727
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
902
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
878
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6183
7.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
13440
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13264
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1369
102.2 IPS |
|
|
Object Detection (F16)
|
100% |
2410
179.9 IPS |
|
|
Object Detection (I8)
|
97% |
1396
104.2 IPS |
|
|
Face Detection (F32)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
5731
68.1 IPS |
|
|
Face Detection (I8)
|
97% |
5519
65.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5328
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10682
82.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10981
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18004
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27839
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
24182
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3871
138.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5143
183.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5168
184.6 IPS |
|
|
Text Classification (F32)
|
100% |
2183
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3515
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3562
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1589
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1274
23.4 IPS |
