MacBook Pro (14-inch, 2021)
Geekbench AI Score
3644
Single Precision Score
5779
Half Precision Score
4676
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | dudsdud |
| Upload Date | August 11 2025 03:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (Q)
|
96% |
1485
277.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2539
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11167
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21161
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17112
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2273
180.9 IPS |
|
|
Object Detection (Q)
|
94% |
1697
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5049
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
2981
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10102
78.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6987
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21758
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32463
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26733
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6030
222.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4193
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2938
50.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4839
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4778
82.6 IPS |
