MacBook Pro (13-inch, 2022)
Geekbench AI Score
2096
Single Precision Score
11715
Half Precision Score
12372
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ticonderoga |
| Upload Date | August 18 2024 08:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.5 IPS |
|
|
Image Classification (HP)
|
100% |
7187
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
7707
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5037
81.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5026
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5973
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
86724
101.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
84955
99.6 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
99% |
8400
668.2 IPS |
|
|
Object Detection (Q)
|
93% |
8846
705.9 IPS |
|
|
Face Detection (SP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
11025
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
12764
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3684
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51259
394.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
53689
415.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10666
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
136923
176.0 IPS |
|
|
Style Transfer (Q)
|
100% |
137954
177.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19142
706.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24562
910.0 IPS |
|
|
Text Classification (SP)
|
100% |
688
917.7 IPS |
|
|
Text Classification (HP)
|
100% |
531
708.8 IPS |
|
|
Text Classification (Q)
|
93% |
530
711.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2348
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
