MacBook Pro (13-inch, 2022)
Geekbench AI Score
6400
Single Precision Score
7205
Half Precision Score
6461
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jacofaco |
| Upload Date | October 15 2024 08:10 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3629
674.9 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.5 IPS |
|
|
Image Classification (Q)
|
97% |
2909
542.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3869
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4933
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5041
81.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24338
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26255
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24311
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3115
247.1 IPS |
|
|
Object Detection (HP)
|
100% |
3364
266.8 IPS |
|
|
Object Detection (Q)
|
91% |
2969
237.2 IPS |
|
|
Face Detection (SP)
|
100% |
10220
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
11883
141.2 IPS |
|
|
Face Detection (Q)
|
100% |
8137
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16420
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17648
136.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14803
115.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42351
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48301
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
44991
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9475
349.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9849
363.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7834
289.3 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3619
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3649
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
774
13.4 IPS |
