MacBook Pro (13-inch, 2022)
Geekbench ML Score
5640
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 04:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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 | 3.45 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% |
3360
628.8 IPS |
|
|
Image Classification (F16)
|
100% |
3451
645.8 IPS |
|
|
Image Classification (I8)
|
99% |
3357
628.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1331
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1436
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1445
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
19560
23.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
24844
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24724
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2355
175.8 IPS |
|
|
Object Detection (F16)
|
100% |
2893
216.0 IPS |
|
|
Object Detection (I8)
|
97% |
2867
214.1 IPS |
|
|
Face Detection (F32)
|
100% |
8975
106.7 IPS |
|
|
Face Detection (F16)
|
98% |
9166
109.0 IPS |
|
|
Face Detection (I8)
|
97% |
5471
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
11890
92.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17124
132.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
16851
130.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41266
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
39992
52.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47056
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7068
252.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7678
274.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7401
264.3 IPS |
|
|
Text Classification (F32)
|
100% |
2137
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3552
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3543
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1142
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1011
18.6 IPS |
