MacBook Pro (14-inch, 2021)
Geekbench AI Score
8622
Single Precision Score
9495
Half Precision Score
8922
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jacshe |
| Upload Date | June 18 2025 05:33 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3797
706.1 IPS |
|
|
Image Classification (HP)
|
100% |
3884
722.4 IPS |
|
|
Image Classification (Q)
|
96% |
3611
674.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6769
109.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6811
110.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6497
105.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29868
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32167
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31206
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (HP)
|
100% |
3870
306.9 IPS |
|
|
Object Detection (Q)
|
92% |
3594
286.9 IPS |
|
|
Face Detection (SP)
|
100% |
12971
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
13481
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
11627
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17481
134.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16603
127.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
15233
119.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50113
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59715
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58381
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10512
388.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11105
410.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9604
354.6 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3033
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3052
52.7 IPS |
