MacBook Pro (16-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
16312
Half Precision Score
16163
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | December 08 2024 11:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
6873
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6609
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9698
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10322
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11286
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70432
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67407
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7975
634.4 IPS |
|
|
Object Detection (Q)
|
91% |
7415
592.5 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
15956
189.6 IPS |
|
|
Face Detection (Q)
|
100% |
15018
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5873
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51424
396.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53258
416.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22280
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120385
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116705
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25824
953.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28106
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3497
60.4 IPS |
