MacBook Pro (13-inch, 2022)
Geekbench ML Score
3693
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 06 2026 06:59 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.28 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% |
1120
209.6 IPS |
|
|
Image Classification (F16)
|
100% |
2193
410.3 IPS |
|
|
Image Classification (I8)
|
99% |
2190
409.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1164
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1011
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5839
7.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
13364
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14294
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1327
99.1 IPS |
|
|
Object Detection (F16)
|
100% |
2420
180.6 IPS |
|
|
Object Detection (I8)
|
97% |
1350
100.8 IPS |
|
|
Face Detection (F32)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5813
69.1 IPS |
|
|
Face Detection (I8)
|
96% |
5572
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5175
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10822
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10860
84.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17479
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27240
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27526
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3858
137.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5129
183.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5199
185.7 IPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3237
4.65 KIPS |
|
|
Text Classification (I8)
|
96% |
3461
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1260
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1603
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1244
22.9 IPS |
