MacBook Pro (13-inch, 2022)
Geekbench ML Score
3121
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:41 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.18 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% |
959
179.5 IPS |
|
|
Image Classification (F16)
|
100% |
1849
346.1 IPS |
|
|
Image Classification (I8)
|
99% |
1273
238.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
525
8.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
739
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4479
5.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
11158
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9401
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1129
84.3 IPS |
|
|
Object Detection (F16)
|
100% |
2186
163.2 IPS |
|
|
Object Detection (I8)
|
97% |
1133
84.6 IPS |
|
|
Face Detection (F32)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (F16)
|
97% |
5299
63.0 IPS |
|
|
Face Detection (I8)
|
96% |
5107
60.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5116
39.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9688
75.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9993
77.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15675
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
23886
31.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26072
34.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3443
123.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3090
110.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4129
147.4 IPS |
|
|
Text Classification (F32)
|
100% |
1990
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3349
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3442
4.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1197
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1200
22.1 IPS |
