MacBook Pro (16-inch, 2021)
Geekbench AI Score
7660
Single Precision Score
8563
Half Precision Score
7551
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | firecall |
| Upload Date | January 04 2025 02:21 AM |
| Views | 2 |
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% |
4078
758.3 IPS |
|
|
Image Classification (HP)
|
100% |
4136
769.3 IPS |
|
|
Image Classification (Q)
|
97% |
3524
657.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6315
102.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6529
105.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6460
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32508
37.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34967
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32457
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3810
302.2 IPS |
|
|
Object Detection (HP)
|
100% |
4143
328.6 IPS |
|
|
Object Detection (Q)
|
91% |
3490
278.8 IPS |
|
|
Face Detection (SP)
|
100% |
13981
166.1 IPS |
|
|
Face Detection (HP)
|
100% |
14763
175.4 IPS |
|
|
Face Detection (Q)
|
100% |
10621
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19937
153.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20907
161.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17566
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53844
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64017
82.3 IPS |
|
|
Style Transfer (Q)
|
96% |
59960
77.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10854
400.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11480
423.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9152
337.9 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
580
10.0 IPS |
