MacBook Pro (14-inch, 2021)
Geekbench AI Score
8174
Single Precision Score
8954
Half Precision Score
8376
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 02:18 PM |
| Views | 3 |
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% |
3767
700.5 IPS |
|
|
Image Classification (HP)
|
100% |
3898
724.8 IPS |
|
|
Image Classification (Q)
|
96% |
3595
671.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6730
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6773
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6469
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29756
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32300
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31125
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (HP)
|
100% |
3857
305.9 IPS |
|
|
Object Detection (Q)
|
92% |
3583
286.0 IPS |
|
|
Face Detection (SP)
|
100% |
13038
154.9 IPS |
|
|
Face Detection (HP)
|
100% |
13572
161.3 IPS |
|
|
Face Detection (Q)
|
100% |
11699
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17450
134.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16538
127.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
15224
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50027
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
59673
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58354
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10537
389.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11068
408.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9569
353.3 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1658
28.6 IPS |
