MacBook Pro (16-inch, 2021)
Geekbench AI Score
8493
Single Precision Score
9372
Half Precision Score
8254
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | purity |
| Upload Date | January 01 2025 11:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4011
745.9 IPS |
|
|
Image Classification (HP)
|
100% |
4065
756.0 IPS |
|
|
Image Classification (Q)
|
97% |
3449
643.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6292
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6507
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6423
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32915
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34929
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32388
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3940
312.5 IPS |
|
|
Object Detection (HP)
|
100% |
4111
326.1 IPS |
|
|
Object Detection (Q)
|
91% |
3423
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
13854
164.6 IPS |
|
|
Face Detection (HP)
|
100% |
14752
175.3 IPS |
|
|
Face Detection (Q)
|
100% |
10512
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19794
152.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20754
159.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17404
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53906
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63856
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59818
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10801
398.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11264
415.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8799
324.9 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1598
27.6 IPS |
