MacBook Pro (16-inch, 2021)
Geekbench AI Score
8350
Single Precision Score
9564
Half Precision Score
8828
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 06:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
3913
727.6 IPS |
|
|
Image Classification (HP)
|
100% |
4094
761.3 IPS |
|
|
Image Classification (Q)
|
96% |
3851
719.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7272
117.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7482
121.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7108
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32753
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35910
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34583
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3948
313.1 IPS |
|
|
Object Detection (HP)
|
100% |
4099
325.1 IPS |
|
|
Object Detection (Q)
|
92% |
3825
305.3 IPS |
|
|
Face Detection (SP)
|
100% |
13788
163.8 IPS |
|
|
Face Detection (HP)
|
100% |
14621
173.7 IPS |
|
|
Face Detection (Q)
|
100% |
12641
150.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19886
153.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19025
146.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17472
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53816
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64594
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63348
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10906
402.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11736
433.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9929
366.6 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1425
24.6 IPS |
