MacBook Pro (13-inch, 2022)
Geekbench ML Score
6064
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 23 2025 07:00 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 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% |
3090
578.2 IPS |
|
|
Image Classification (F16)
|
100% |
3512
657.1 IPS |
|
|
Image Classification (I8)
|
99% |
3504
655.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1253
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1331
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23203
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25380
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
25124
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
2684
200.4 IPS |
|
|
Object Detection (F16)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (I8)
|
97% |
2819
210.5 IPS |
|
|
Face Detection (F32)
|
100% |
8479
100.8 IPS |
|
|
Face Detection (F16)
|
98% |
10029
119.2 IPS |
|
|
Face Detection (I8)
|
97% |
10042
119.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15941
123.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17497
135.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
17979
139.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40434
53.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47612
62.6 IPS |
|
|
Style Transfer (I8)
|
100% |
47430
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8717
311.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10161
362.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10148
362.4 IPS |
|
|
Text Classification (F32)
|
100% |
2114
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3554
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3295
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1089
20.0 IPS |
