MacBook Pro (13-inch, 2022)
Geekbench AI Score
2037
Single Precision Score
11683
Half Precision Score
12423
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1177
218.8 IPS |
|
|
Image Classification (HP)
|
100% |
7163
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7497
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5040
81.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5063
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5965
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
84559
98.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
86100
101.0 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
99% |
8403
668.5 IPS |
|
|
Object Detection (Q)
|
93% |
8772
699.9 IPS |
|
|
Face Detection (SP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
11288
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
12975
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3688
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45850
353.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
51012
394.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10651
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
138212
177.7 IPS |
|
|
Style Transfer (Q)
|
100% |
137994
177.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19155
707.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24842
920.4 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.8 IPS |
|
|
Text Classification (HP)
|
100% |
568
757.7 IPS |
|
|
Text Classification (Q)
|
93% |
569
764.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2366
40.9 IPS |
