MacBook Pro (16-inch, 2021)
Geekbench AI Score
8474
Single Precision Score
8926
Half Precision Score
8241
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | acorello |
| Upload Date | February 19 2025 10:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4017
747.0 IPS |
|
|
Image Classification (HP)
|
100% |
4093
761.1 IPS |
|
|
Image Classification (Q)
|
97% |
3450
643.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6284
101.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6483
105.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6415
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32905
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34896
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32391
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3938
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
4093
324.7 IPS |
|
|
Object Detection (Q)
|
91% |
3424
273.6 IPS |
|
|
Face Detection (SP)
|
100% |
13823
164.2 IPS |
|
|
Face Detection (HP)
|
100% |
14541
172.8 IPS |
|
|
Face Detection (Q)
|
100% |
10441
124.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19771
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20644
159.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17406
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53895
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63857
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
60127
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10863
401.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11280
416.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8794
324.7 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1574
27.2 IPS |
