MacBook Pro (14-inch, 2021)
Geekbench AI Score
8059
Single Precision Score
8877
Half Precision Score
8357
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | barryp |
| Upload Date | May 26 2025 08:50 AM |
| Views | 7 |
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 (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3872
720.1 IPS |
|
|
Image Classification (HP)
|
100% |
3996
743.1 IPS |
|
|
Image Classification (Q)
|
96% |
3705
691.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6873
111.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6913
112.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6585
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29999
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32581
38.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31447
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3817
302.8 IPS |
|
|
Object Detection (HP)
|
100% |
4006
317.8 IPS |
|
|
Object Detection (Q)
|
92% |
3757
299.9 IPS |
|
|
Face Detection (SP)
|
100% |
13370
158.9 IPS |
|
|
Face Detection (HP)
|
100% |
13946
165.7 IPS |
|
|
Face Detection (Q)
|
100% |
11954
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17999
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17064
131.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
15705
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50547
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60324
77.5 IPS |
|
|
Style Transfer (Q)
|
96% |
58920
76.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10685
394.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11306
417.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9926
366.5 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1347
23.3 IPS |
