MacBook Pro (16-inch, 2021)
Geekbench AI Score
8512
Single Precision Score
9268
Half Precision Score
8023
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | December 08 2024 11:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4050
753.2 IPS |
|
|
Image Classification (HP)
|
100% |
4042
751.7 IPS |
|
|
Image Classification (Q)
|
97% |
3448
643.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6297
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6488
105.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6452
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32872
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34878
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32557
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4138
328.2 IPS |
|
|
Object Detection (HP)
|
100% |
4182
331.7 IPS |
|
|
Object Detection (Q)
|
91% |
3408
272.3 IPS |
|
|
Face Detection (SP)
|
100% |
13841
164.5 IPS |
|
|
Face Detection (HP)
|
100% |
14585
173.3 IPS |
|
|
Face Detection (Q)
|
100% |
10561
125.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19760
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21173
163.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17074
133.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53743
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
63698
81.9 IPS |
|
|
Style Transfer (Q)
|
96% |
59901
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10726
396.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11249
415.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8930
329.8 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1191
20.6 IPS |
