MacBook Pro (14-inch, 2021)
Geekbench AI Score
8326
Single Precision Score
9320
Half Precision Score
8454
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | dudsdud |
| Upload Date | August 11 2025 03:12 PM |
| 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 (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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3801
706.9 IPS |
|
|
Image Classification (HP)
|
100% |
4003
744.5 IPS |
|
|
Image Classification (Q)
|
96% |
3220
601.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6790
110.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6903
111.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6570
106.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29750
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32387
37.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31132
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3803
301.6 IPS |
|
|
Object Detection (HP)
|
100% |
3958
313.9 IPS |
|
|
Object Detection (Q)
|
92% |
3629
289.7 IPS |
|
|
Face Detection (SP)
|
100% |
12926
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
13589
161.5 IPS |
|
|
Face Detection (Q)
|
100% |
11670
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17627
135.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15888
122.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
15339
119.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49755
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
59775
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58246
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10574
390.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11410
421.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9763
360.5 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1904
32.9 IPS |
