MacBook Pro (16-inch, 2021)
Geekbench AI Score
8613
Single Precision Score
10083
Half Precision Score
9392
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 02:57 AM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4185
778.2 IPS |
|
|
Image Classification (HP)
|
100% |
4365
811.7 IPS |
|
|
Image Classification (Q)
|
96% |
3968
740.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7376
119.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7559
122.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7233
117.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32910
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36048
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34801
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3990
316.5 IPS |
|
|
Object Detection (HP)
|
100% |
4165
330.3 IPS |
|
|
Object Detection (Q)
|
92% |
3874
309.2 IPS |
|
|
Face Detection (SP)
|
100% |
14128
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
14926
177.3 IPS |
|
|
Face Detection (Q)
|
100% |
12857
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20085
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19225
148.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
17673
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53825
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64874
83.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63566
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10989
405.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12061
445.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10194
376.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2343
40.5 IPS |
