MacBook Pro (13-inch, 2022)
Geekbench AI Score
7096
Single Precision Score
7947
Half Precision Score
6983
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 10:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
3710
689.9 IPS |
|
|
Image Classification (HP)
|
100% |
3641
677.1 IPS |
|
|
Image Classification (Q)
|
97% |
3155
588.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5071
82.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5130
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24655
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26356
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24396
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3701
293.6 IPS |
|
|
Object Detection (HP)
|
100% |
3697
293.2 IPS |
|
|
Object Detection (Q)
|
91% |
3119
249.2 IPS |
|
|
Face Detection (SP)
|
100% |
10451
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
11973
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
8280
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16480
127.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17881
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14849
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42913
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48638
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45541
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10093
372.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10511
388.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8206
303.0 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3749
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1300
22.5 IPS |
