MacBook Pro (14-inch, 2021)
Geekbench AI Score
1946
Single Precision Score
12629
Half Precision Score
13062
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
828
154.0 IPS |
|
|
Image Classification (HP)
|
100% |
6997
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
7479
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3872
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3873
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9519
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
68932
80.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
65847
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (HP)
|
99% |
7511
597.5 IPS |
|
|
Object Detection (Q)
|
93% |
7195
574.1 IPS |
|
|
Face Detection (SP)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
11100
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
11392
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3237
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45736
352.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
49699
384.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11494
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117410
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122819
157.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18583
686.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22761
843.3 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3280
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2030
35.1 IPS |
