MacBook Pro (13-inch, 2022)
Geekbench ML Score
5681
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 15 2025 06:13 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.47 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% |
3442
644.2 IPS |
|
|
Image Classification (F16)
|
100% |
3557
665.6 IPS |
|
|
Image Classification (I8)
|
99% |
3559
666.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1602
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1623
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22627
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25285
30.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
25290
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
1999
149.2 IPS |
|
|
Object Detection (F16)
|
100% |
1831
136.7 IPS |
|
|
Object Detection (I8)
|
97% |
1768
132.0 IPS |
|
|
Face Detection (F32)
|
100% |
9423
112.0 IPS |
|
|
Face Detection (F16)
|
98% |
10847
129.0 IPS |
|
|
Face Detection (I8)
|
97% |
10921
129.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
13881
107.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9325
72.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
17556
136.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41288
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
47409
62.4 IPS |
|
|
Style Transfer (I8)
|
100% |
38765
51.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3595
128.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8518
304.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10520
375.7 IPS |
|
|
Text Classification (F32)
|
100% |
2154
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3558
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3566
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1141
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1189
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1129
20.8 IPS |
