MacBook Pro (13-inch, 2022)
Geekbench AI Score
2034
Single Precision Score
12074
Half Precision Score
12688
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ioscarhunter |
| Upload Date | August 16 2024 03:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1150
213.8 IPS |
|
|
Image Classification (HP)
|
100% |
7160
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7584
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5083
82.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5074
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
87292
101.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
86757
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
99% |
8630
686.5 IPS |
|
|
Object Detection (Q)
|
93% |
8148
650.2 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
11371
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
12870
152.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3571
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
49940
384.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
55255
427.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10553
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
139828
179.8 IPS |
|
|
Style Transfer (Q)
|
100% |
138073
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3011
111.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19288
712.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25382
940.4 IPS |
|
|
Text Classification (SP)
|
100% |
588
785.1 IPS |
|
|
Text Classification (HP)
|
100% |
650
867.2 IPS |
|
|
Text Classification (Q)
|
93% |
672
901.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2374
41.0 IPS |
