MacBook Pro (16-inch, 2021)
Geekbench AI Score
8537
Single Precision Score
9519
Half Precision Score
8819
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | May 18 2025 12:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4183
777.8 IPS |
|
|
Image Classification (HP)
|
100% |
4266
793.3 IPS |
|
|
Image Classification (Q)
|
96% |
3913
730.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7325
118.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7543
122.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7126
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32922
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36186
42.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34762
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4012
318.2 IPS |
|
|
Object Detection (HP)
|
100% |
4126
327.3 IPS |
|
|
Object Detection (Q)
|
92% |
3839
306.4 IPS |
|
|
Face Detection (SP)
|
100% |
14217
168.9 IPS |
|
|
Face Detection (HP)
|
100% |
15024
178.5 IPS |
|
|
Face Detection (Q)
|
100% |
13102
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20567
158.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19101
147.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
17540
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
54174
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65121
83.7 IPS |
|
|
Style Transfer (Q)
|
96% |
63680
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10981
405.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11851
437.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10133
374.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1291
22.3 IPS |
