MacBook Pro (14-inch, 2021)
Geekbench AI Score
8260
Single Precision Score
9330
Half Precision Score
8592
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Mythic |
| Upload Date | October 27 2025 07:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4097
761.9 IPS |
|
|
Image Classification (HP)
|
100% |
4229
786.5 IPS |
|
|
Image Classification (Q)
|
96% |
3885
725.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7350
119.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7545
122.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7215
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30002
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35620
41.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34750
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3906
309.9 IPS |
|
|
Object Detection (HP)
|
100% |
4125
327.2 IPS |
|
|
Object Detection (Q)
|
92% |
3748
299.2 IPS |
|
|
Face Detection (SP)
|
100% |
13885
165.0 IPS |
|
|
Face Detection (HP)
|
100% |
14653
174.1 IPS |
|
|
Face Detection (Q)
|
100% |
12703
150.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19955
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18699
144.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
17268
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53838
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64816
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
61925
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10809
399.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11389
420.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9899
365.5 IPS |
|
|
Text Classification (SP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3604
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
