MacBook Pro (13-inch, 2022)
Geekbench ML Score
6028
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 31 2025 07:11 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
3396
635.5 IPS |
|
|
Image Classification (F16)
|
100% |
3489
652.9 IPS |
|
|
Image Classification (I8)
|
99% |
3490
653.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1307
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1489
24.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1515
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23224
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
24112
29.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25644
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
2349
175.3 IPS |
|
|
Object Detection (F16)
|
100% |
2950
220.2 IPS |
|
|
Object Detection (I8)
|
97% |
2863
213.8 IPS |
|
|
Face Detection (F32)
|
100% |
8597
102.2 IPS |
|
|
Face Detection (F16)
|
98% |
10310
122.6 IPS |
|
|
Face Detection (I8)
|
97% |
10732
127.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15922
123.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17408
135.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
18131
140.6 IPS |
|
|
Style Transfer (F32)
|
100% |
38303
50.4 IPS |
|
|
Style Transfer (F16)
|
100% |
47957
63.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47786
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7657
273.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9070
323.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7556
269.9 IPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3515
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3547
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1073
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1087
20.0 IPS |
