MacBook Pro (13-inch, 2022)
Geekbench ML Score
5847
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 28 2025 07:39 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2801
524.2 IPS |
|
|
Image Classification (F16)
|
100% |
2956
553.1 IPS |
|
|
Image Classification (I8)
|
99% |
3495
654.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1236
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1383
23.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1442
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22317
27.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24893
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25408
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2903
216.7 IPS |
|
|
Object Detection (F16)
|
100% |
2733
204.0 IPS |
|
|
Object Detection (I8)
|
97% |
2764
206.4 IPS |
|
|
Face Detection (F32)
|
100% |
9026
107.3 IPS |
|
|
Face Detection (F16)
|
98% |
10499
124.8 IPS |
|
|
Face Detection (I8)
|
97% |
10908
129.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16217
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17516
135.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
18069
140.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41840
55.0 IPS |
|
|
Style Transfer (F16)
|
100% |
47919
63.0 IPS |
|
|
Style Transfer (I8)
|
100% |
47785
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7300
260.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7525
268.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7810
278.9 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3460
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3533
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
948
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
995
18.3 IPS |
|
|
Machine Translation (I8)
|
99% |
870
16.0 IPS |
