MacBook Pro (13-inch, 2022)
Geekbench ML Score
5517
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 15 2025 07:00 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.46 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% |
3222
602.9 IPS |
|
|
Image Classification (F16)
|
100% |
3361
628.9 IPS |
|
|
Image Classification (I8)
|
99% |
3356
628.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1478
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1224
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1348
22.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23262
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
22473
27.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
21607
26.2 IPS |
|
|
Object Detection (F32)
|
100% |
2825
210.9 IPS |
|
|
Object Detection (F16)
|
100% |
2906
217.0 IPS |
|
|
Object Detection (I8)
|
97% |
2004
149.6 IPS |
|
|
Face Detection (F32)
|
100% |
3950
47.0 IPS |
|
|
Face Detection (F16)
|
98% |
10267
122.1 IPS |
|
|
Face Detection (I8)
|
97% |
10060
119.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15393
119.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17456
135.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
17069
132.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40221
52.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47534
62.5 IPS |
|
|
Style Transfer (I8)
|
100% |
47440
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6863
245.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7359
262.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8220
293.6 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3492
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3200
4.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
861
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
883
16.2 IPS |
|
|
Machine Translation (I8)
|
99% |
859
15.8 IPS |
