MacBook Pro (13-inch, 2022)
Geekbench ML Score
3836
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 07:23 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.43 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% |
1274
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
2370
443.5 IPS |
|
|
Image Classification (I8)
|
99% |
2387
446.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
829
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1070
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1131
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6598
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14531
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14563
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
2332
174.1 IPS |
|
|
Object Detection (I8)
|
97% |
1393
104.0 IPS |
|
|
Face Detection (F32)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5862
69.7 IPS |
|
|
Face Detection (I8)
|
96% |
5540
65.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5464
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10865
84.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10910
84.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18141
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27553
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28063
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4153
148.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5337
190.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5137
183.5 IPS |
|
|
Text Classification (F32)
|
100% |
2067
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3248
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3319
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1327
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
31.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1391
25.6 IPS |
