MacBook Pro (16-inch, 2021)
Geekbench AI Score
8279
Single Precision Score
9404
Half Precision Score
8052
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | etheus |
| Upload Date | February 17 2025 10:31 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4074
757.6 IPS |
|
|
Image Classification (HP)
|
100% |
4115
765.3 IPS |
|
|
Image Classification (Q)
|
97% |
3350
625.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6301
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6444
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6449
104.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32924
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34851
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32365
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3950
313.3 IPS |
|
|
Object Detection (HP)
|
100% |
4118
326.6 IPS |
|
|
Object Detection (Q)
|
91% |
3445
275.3 IPS |
|
|
Face Detection (SP)
|
100% |
13941
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
14586
173.3 IPS |
|
|
Face Detection (Q)
|
100% |
10468
124.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19950
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20882
160.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17557
137.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53914
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63761
82.0 IPS |
|
|
Style Transfer (Q)
|
96% |
59971
77.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10867
401.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11301
417.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8958
330.8 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1234
21.3 IPS |
